| computer science and engineering ucla: Computational Imaging Ayush Bhandari, Achuta Kadambi, Ramesh Raskar, 2022-10-25 A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context. |
| computer science and engineering ucla: Cognitive Systems Henrik Christensen, Geert-Jan M. Kruijff, Jeremy Wyatt, 2012-05-28 Design of cognitive systems for assistance to people poses a major challenge to the fields of robotics and artificial intelligence. The Cognitive Systems for Cognitive Assistance (CoSy) project was organized to address the issues of i) theoretical progress on design of cognitive systems ii) methods for implementation of systems and iii) empirical studies to further understand the use and interaction with such systems. To study, design and deploy cognitive systems there is a need to considers aspects of systems design, embodiment, perception, planning and error recovery, spatial insertion, knowledge acquisition and machine learning, dialog design and human robot interaction and systems integration. The CoSy project addressed all of these aspects over a period of four years and across two different domains of application – exploration of space and task / knowledge acquisition for manipulation. The present volume documents the results of the CoSy project. The CoSy project was funded by the European Commission as part of the Cognitive Systems Program within the 6th Framework Program. |
| computer science and engineering ucla: Customizable Computing Yu-Ting Chen, Jason Cong, Michael Gill, Glenn Reinman, Bingjun Xiao, Zhiyang Ong, 2015-07-01 Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on energy-efficient customizable architectures, including customizable cores and accelerators, on-chip memory customization, and interconnect optimization. In addition to a discussion of the general techniques and classification of different approaches used in each area, we also highlight and illustrate some of the most successful design examples in each category and discuss their impact on performance and energy efficiency. We hope that this work captures the state-of-the-art research and development on customizable architectures and serves as a useful reference basis for further research, design, and implementation for large-scale deployment in future computing systems. |
| computer science and engineering ucla: Modeling and Reasoning with Bayesian Networks Adnan Darwiche, 2009-04-06 This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer. |
| computer science and engineering ucla: Learning to Solve Problems by Searching for Macro-operators Richard E. Korf, 1985 This monograph explores the idea of learning efficient strategies for solving problems by searching for macro-operators. |
| computer science and engineering ucla: Stuck in the Shallow End, updated edition Jane Margolis, 2017-03-03 Why so few African American and Latino/a students study computer science: updated edition of a book that reveals the dynamics of inequality in American schools. The number of African Americans and Latino/as receiving undergraduate and advanced degrees in computer science is disproportionately low. And relatively few African American and Latino/a high school students receive the kind of institutional encouragement, educational opportunities, and preparation needed for them to choose computer science as a field of study and profession. In Stuck in the Shallow End, Jane Margolis and coauthors look at the daily experiences of students and teachers in three Los Angeles public high schools: an overcrowded urban high school, a math and science magnet school, and a well-funded school in an affluent neighborhood. They find an insidious “virtual segregation” that maintains inequality. The race gap in computer science, Margolis discovers, is one example of the way students of color are denied a wide range of occupational and educational futures. Stuck in the Shallow End is a story of how inequality is reproduced in America—and how students and teachers, given the necessary tools, can change the system. Since the 2008 publication of Stuck in the Shallow End, the book has found an eager audience among teachers, school administrators, and academics. This updated edition offers a new preface detailing the progress in making computer science accessible to all, a new postscript, and discussion questions (coauthored by Jane Margolis and Joanna Goode). |
| computer science and engineering ucla: Splitting Methods in Communication, Imaging, Science, and Engineering Roland Glowinski, Stanley J. Osher, Wotao Yin, 2017-01-05 This book is about computational methods based on operator splitting. It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas. |
| computer science and engineering ucla: The Florentine Deception Carey Nachenberg, 2015-09-01 In this action-packed techno-thriller, a routine computer cleanup sets off an electrifying quest for an enigmatic—and deadly—treasure. After selling his dorm-room startup for millions and effectively retiring at the age of twenty-five, Alex Fife is eager for a new challenge. When he agrees to clean up an old PC as a favor, he never expects to find the adventure of a lifetime waiting for him inside the machine. But as he rummages through old emails, Alex stumbles upon a startling discovery: The previous owner, a shady antiques smuggler, had been trying to unload a mysterious object known as the Florentine on the black market. And with the dealer’s untimely passing, the Florentine is now unaccounted for and ripe for the taking. Alex dives headfirst into a hunt for the priceless object. What starts out as a seemingly innocuous pursuit quickly devolves into a nightmare when Alex discovers the true technological nature of the Florentine. Not just a lost treasure, it’s something far more insidious: a weapon that could bring the developed world to its knees. Alex races through subterranean grottos, freezing morgues, and hidden cellars in the dark underbelly of Los Angeles, desperate to find the Florentine before it falls into the wrong hands. Because if nefarious forces find it first, there’ll be nothing Alex—or anyone else—can do to prevent a catastrophic attack. Leading security specialist Carey Nachenberg delivers expert technical details in this gripping, highly entertaining cyber thrill ride—perfect for fans of Neal Stephenson and William Gibson. |
| computer science and engineering ucla: Right College, Right Price Frank Palmasani, 2013 Describes how the Financial Fit program can help families determine how much college will really cost beyond the sticker price and factor cost into the college search, and explains how to maximize financial aid benefits. |
| computer science and engineering ucla: Communication Nets Leonard Kleinrock, 2014-06-10 Considerable research has been devoted to the formulation and solution of problems involving flow within connected networks. Independent of these surveys, an extensive body of knowledge has accumulated on the subject of queues, particularly in regard to stochastic flow through single-node servicing facilities. This text combines studies of connected networks with those of stochastic flow, providing a basis for understanding the general behavior and operation of communication networks in realistic situations. Author Leonard Kleinrock of the Computer Science Department at UCLA created the basic principle of packet switching, the technology underpinning the Internet. In this text, he develops a queuing theory model of communications nets. Its networks are channel-capacity limited; consequently, the measure of performance is taken to be the average delay encountered by a message in passing through the net. Topics include questions pertaining to optimal channel capacity assignment, effect of priority and other queue disciplines, choice of routine procedure, fixed-cost restraint, and design of topological structures. Many separate facets are brought into focus in the concluding discussion of the simulation of communication nets, and six appendices offer valuable supplementary information. |
| computer science and engineering ucla: The Hutchinson Dictionary of Scientific Biography Roy Porter, 2016 Provides an authoritative and accessible look at the lives of the men and women who have shaped science. |
| computer science and engineering ucla: Kinematics Joseph Stiles Beggs, 1983 |
| computer science and engineering ucla: Operating Systems Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau, 2018-09 This book is organized around three concepts fundamental to OS construction: virtualization (of CPU and memory), concurrency (locks and condition variables), and persistence (disks, RAIDS, and file systems--Back cover. |
| computer science and engineering ucla: Modern Compiler Implementation in Java Andrew W. Appel, Jens Palsberg, 2007 Appel explains all phases of a modern compiler, covering current techniques in code generation and register allocation as well as functional and object-oriented languages. The book also includes a compiler implementation project using Java. |
| computer science and engineering ucla: Physics 4al Grossmann, 2001 |
| computer science and engineering ucla: Artificial Intelligence Stuart Russell, Peter Norvig, 2016-09-10 Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. |
| computer science and engineering ucla: Building Problem Solvers Kenneth D. Forbus, Johan De Kleer, 1993 After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. |
| computer science and engineering ucla: Computational Systems-Biology and Bioinformatics Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho, 2010-10-19 Ussery. |
| computer science and engineering ucla: Cheating Tim Groseclose, 2014-04 Because of California's Proposition 209, public universities such as UCLA cannot use race as a factor in admissions. However, as this book shows, UCLA gives significant preferences to African Americans, while it discriminates against Asians. The author, a professor of political science and economics at UCLA, documents what he witnessed as a member of UCLA's faculty oversight committee for admissions. He also describes findings from a UCLA internal report as well as statistics from a large data set that he has posted online. All show that UCLA is breaking the law. The discrimination is not simply a byproduct of class-based preferences. For instance, for one aspect of the admissions process, a rich African American's chance of admission is almost double that of a poor Asian, even when the two applicants have identical grades, SAT scores, and other factors. |
| computer science and engineering ucla: Dynamic Biosystem Modeling & Simulation Methodology - Integrated & Accessible Joseph Distefano, 3rd, 2019-09-16 This textbook is uniquely crafted for use in teaching undergraduate students in the life, math, computer and other sciences and engineering. It is INTRODUCTORY LEVEL, for students who have taken or are currently completing their undergraduate math requirements, and are acquiring analytical-thinking and doing skills, along with introductory biology, chemistry and physics subject matter. It's about learning HOW to model and simulate dynamic biological systems, which also makes it useful for graduate students and professional researchers who want a more rigorous treatment of introductory life science math modeling, integrated with the biology. It brings together the multidisciplinary pedagogy of these subjects into a SINGLE INTRODUCTORY MODELING METHODOLOGY COURSE, crystalizing the experience of an author who has been teaching dynamic biosystems modeling and simulation methodology for the life sciences for more than 50 years. DiStefano maximizes accessibility and systems-math-biology integration - without diminishing conceptual rigor. Minimally essential applied math and SYSTEMS ENGINEERING METHODS are included, along with a synopsis of the biology and physiology underlying dynamic biosystem modeling, all in a modeling pedagogy context. This textbook fills a major need in the training of contemporary biology students.Dynamic biosystems modeling methodology is presented over 12 distinctive chapters, primarily with systems diagrams and simple differential equations and algebra for expressing them quantitatively, integrated with the biology. Solving and analyzing (quantifying) the biomodels are then accomplished by simulation, using a facile control system simulation language Simulink, a GUI/Matlab toolbox that emulates control systems diagramming, rather than by coding the model in a standard computer programming language. Students see and work with the system model - not the code - a big plus. Higher math and complex analytical solutions are avoided.Each chapter begins with a list of LEARNING GOALS, to help with both perspective for the chapter material, and retrospective, to measure learning. EXERCISES for the student at the end of each chapter are designed to test and reinforce learning. A SOLUTIONS MANUAL for chapter exercises is available to qualified instructors from the author, as are LECTURE SLIDES and LAB ASSIGNMENTS AND SOLUTIONS, for courses that adopt the textbook for student use. |
| computer science and engineering ucla: Cardiovascular Biomechanics Peter R. Hoskins, Patricia V. Lawford, Barry J. Doyle, 2017-02-16 This book provides a balanced presentation of the fundamental principles of cardiovascular biomechanics research, as well as its valuable clinical applications. Pursuing an integrated approach at the interface of the life sciences, physics and engineering, it also includes extensive images to explain the concepts discussed. With a focus on explaining the underlying principles, this book examines the physiology and mechanics of circulation, mechanobiology and the biomechanics of different components of the cardiovascular system, in-vivo techniques, in-vitro techniques, and the medical applications of this research. Written for undergraduate and postgraduate students and including sample problems at the end of each chapter, this interdisciplinary text provides an essential introduction to the topic. It is also an ideal reference text for researchers and clinical practitioners, and will benefit a wide range of students and researchers including engineers, physicists, biologists and clinicians who are interested in the area of cardiovascular biomechanics. |
| computer science and engineering ucla: An Approximation Approach to Network Information Theory A. Salman Avestimehr, Suhas N. Diggavi, Chao Tian, David N. C. Tse, 2015-08-28 An Approximation Approach to Network Information Theory describes a breakthrough systematic approach to network information theory. |
| computer science and engineering ucla: Machine Learning Kevin P. Murphy, 2012-08-24 A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students. |
| computer science and engineering ucla: System-Level Synthesis Ahmed Amine Jerraya, Jean Mermet, 2012-12-06 System-Level Synthesis deals with the concurrent design of electronic applications, including both hardware and software. The issue has become the bottleneck in the design of electronic systems, including both hardware and software, in several major industrial fields, including telecommunications, automotive and aerospace engineering. The major difficulty with the subject is that it demands contributions from several research fields, including system specification, system architecture, hardware design, and software design. Most existing book cover well only a few aspects of system-level synthesis. The present volume presents a comprehensive discussion of all the aspects of system-level synthesis. Each topic is covered by a contribution written by an international authority on the subject. |
| computer science and engineering ucla: Computer Science Leon Presser, 1972 |
| computer science and engineering ucla: Graphene Photonics Jia-Ming Liu, I-Tan Lin, 2018-12-13 Graphene is a single-layer crystal of carbon, the thinnest two-dimensional material. It has unique electronic and photonic properties. |
| computer science and engineering ucla: Wearable Bioelectronics Anthony P.F. Turner, Alberto Salleo, Onur Parlak, 2019-11-26 Wearable Bioelectronics presents the latest on physical and (bio)chemical sensing for wearable electronics. It covers the miniaturization of bioelectrodes and high-throughput biosensing platforms while also presenting a systemic approach for the development of electrochemical biosensors and bioelectronics for biomedical applications. The book addresses the fundamentals, materials, processes and devices for wearable bioelectronics, showcasing key applications, including device fabrication, manufacturing, and healthcare applications. Topics covered include self-powering wearable bioelectronics, electrochemical transducers, textile-based biosensors, epidermal electronics and other exciting applications. - Includes comprehensive and systematic coverage of the most exciting and promising bioelectronics, processes for their fabrication, and their applications in healthcare - Reviews innovative applications, such as self-powering wearable bioelectronics, electrochemical transducers, textile-based biosensors and electronic skin - Examines and discusses the future of wearable bioelectronics - Addresses the wearable electronics market as a development of the healthcare industry |
| computer science and engineering ucla: Control Theory and Its Applications Vito G. Massari, 2011 Control theory is a theory that deals with influencing the behaviour of dynamical systems and an interdisciplinary sub-field of science, which originated in engineering and mathematics, and evolved into use by the social sciences, such as psychology, sociology and criminology. In this book, the authors present and discuss topical data on control theory relating to these fields. |
| computer science and engineering ucla: The Practice of Programming Brian W. Kernighan, Rob Pike, 1999-02-09 With the same insight and authority that made their book The Unix Programming Environment a classic, Brian Kernighan and Rob Pike have written The Practice of Programming to help make individual programmers more effective and productive. The practice of programming is more than just writing code. Programmers must also assess tradeoffs, choose among design alternatives, debug and test, improve performance, and maintain software written by themselves and others. At the same time, they must be concerned with issues like compatibility, robustness, and reliability, while meeting specifications. The Practice of Programming covers all these topics, and more. This book is full of practical advice and real-world examples in C, C++, Java, and a variety of special-purpose languages. It includes chapters on: debugging: finding bugs quickly and methodically testing: guaranteeing that software works correctly and reliably performance: making programs faster and more compact portability: ensuring that programs run everywhere without change design: balancing goals and constraints to decide which algorithms and data structures are best interfaces: using abstraction and information hiding to control the interactions between components style: writing code that works well and is a pleasure to read notation: choosing languages and tools that let the machine do more of the work Kernighan and Pike have distilled years of experience writing programs, teaching, and working with other programmers to create this book. Anyone who writes software will profit from the principles and guidance in The Practice of Programming. |
| computer science and engineering ucla: The Campus Color Line Eddie R. Cole, 2022-02-15 Although it is commonly known that college students and other activists, as well as politicians, actively participated in the fight for and against civil rights in the middle decades of the twentieth century, historical accounts have not adequately focused on the roles that the nation's college presidents played in the debates concerning racism. Focusing on the period between 1948 and 1968, The Campus Color Line sheds light on the important place of college presidents in the struggle for racial parity. College presidents, during a time of violence and unrest, initiated and shaped racial policies and practices inside and outside of the educational sphere. The Campus Color Line illuminates how the legacy of academic leaders' actions continues to influence the unfinished struggle for Black freedom and racial equity in education and beyond.-- |
| computer science and engineering ucla: Digital Communications Using Chaos and Nonlinear Dynamics Jia-Ming Liu, Lev S. Tsimring, 2006-11-22 This book provides a summary of the research conducted at UCLA, Stanford University, and UCSD over the last ?ve years in the area of nonlinear dyn- ics and chaos as applied to digital communications. At ?rst blush, the term “chaotic communications” seems like an oxymoron; how could something as precise and deterministic as digital communications be chaotic? But as this book will demonstrate, the application of chaos and nonlinear dynamicstocommunicationsprovidesmanypromisingnewdirectionsinareas of coding, nonlinear optical communications, and ultra-wideband commu- cations. The eleven chapters of the book summarize many of the promising new approaches that have been developed, and point the way to new research directions in this ?eld. Digital communications techniques have been continuously developed and re?ned for the past ?fty years to the point where today they form the heart of a multi-hundred billion dollar per year industry employing hundreds of thousands of people on a worldwide basis. There is a continuing need for transmission and reception of digital signals at higher and higher data rates. There are a variety of physical limits that place an upper limit on these data rates, and so the question naturally arises: are there alternative communi- tion techniques that can overcome some of these limitations? Most digital communications today is carried out using electronic devices that are essentially “linear,” and linear system theory has been used to c- tinually re?ne their performance. In many cases, inherently nonlinear devices are linearized in order to achieve a certain level of linear system performance. |
| computer science and engineering ucla: Principles of Photonics Jia-Ming Liu, 2016-08-19 With this self-contained and comprehensive text, students will gain a detailed understanding of the fundamental concepts and major principles of photonics. Assuming only a basic background in optics, readers are guided through key topics such as the nature of optical fields, the properties of optical materials, and the principles of major photonic functions regarding the generation, propagation, coupling, interference, amplification, modulation, and detection of optical waves or signals. Numerous examples and problems are provided throughout to enhance understanding, and a solutions manual containing detailed solutions and explanations is available online for instructors. This is the ideal resource for electrical engineering and physics undergraduates taking introductory, single-semester or single-quarter courses in photonics, providing them with the knowledge and skills needed to progress to more advanced courses on photonic devices, systems and applications. |
| computer science and engineering ucla: Enjoying God Tim Chester, 2018-09-01 Discover the key to enjoying God in every moment of every day We believe in God, we serve God, we trust God, but would we say that we experience God on a day to day basis? Do we really know him personally? What exactly does a relationship with God look like, and how is it even possible? In this seminal work by Tim Chester, we’ll see how the three persons of the Trinity relate to us in our day-to-day lives and how to respond. We’ll discover that as we interact more with God, and understand how awesome he is, we will experience the joy of being known by the creator of the universe. Every Christian will benefit from discovering the key to enjoying God in every moment of everyday. |
| computer science and engineering ucla: Matrix Computer Analysis of Structures Moshe F. Rubinstein, 1966 |
| computer science and engineering ucla: The Unofficial, Unbiased Guide to the 331 Most Interesting Colleges 2005 Kaplan, Inc, 2004-06-22 Engaging and informative, The Unofficial, Unbiased Guide to the 331 Most Interesting Colleges 2005 is a must-read reference for every college-bound student. |
| computer science and engineering ucla: UCLA Marina Dundjerski, 2011 UCLA: The First Century is an extensively illustrated hardcover book which follows a chronological historical narrative with in-depth sections on campus traditions and the history of Bruin athletics.Since the UCLA History Project was launched in 2004, UCLA have been chronicling a full account of their alma mater, from humble beginnings to their current standing as one of the world's most prestigious public research universities. The research and editorial team for this publication delved into the untold number of historical documents and photographs preserved in UCLA's archives and beyond, interviewed numerous members of the UCLA community, and searched for materials and anecdotes that were on the verge of becoming permanently lost or forgotten.'100 years of UCLA on your coffee table.' Los Angeles TimesI wanted to create an authentic, historical account of our university. Every day I am inspired by the story of UCLA and I see its history as a collective, living legacy that we all share. Marina Dundjerski '94, Author'The book is indeed beautiful. Thank you so much for all the work that went into it.' Rhea Turtletaub, Vice Chancellor, UCLA External Affairs |
| computer science and engineering ucla: The Gender Gap in College: Maximizing the Developmental Potential of Women and Men Linda J. Sax, Alexander W. Astin, Helen S. Astin, 2008-09-02 Praise for The Gender Gap in College Linda Sax has produced an encyclopedic volume comparing women's and men's development during the undergraduate years. We believe it is destined to become a classic in the higher education literature. —From the Foreword by Alexander W. Astin and Helen S. Astin Using findings from an important national data set, Linda Sax has skillfully crafted a definitive work about the gender gap in college. It is a major scholarly achievement that will be influential for many years to come. —Ernest Pascarella, Petersen Professor of Higher Education, University of Iowa Linda Sax has produced a meticulously researched, carefully documented analysis that identifies many ways that college impacts men and women differently. This book will be an invaluable resource to researchers and practitioners seeking to better understand and serve traditional-age students at four-year colleges and universities. —Jacqueline E. King, assistant vice president, Center for Policy Analysis, American Council on Education |
| computer science and engineering ucla: Probabilistic and Causal Inference Hector Geffner, Rina Dechter, Joseph Halpern, 2022-03-10 Professor Judea Pearl won the 2011 Turing Award “for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning.” This book contains the original articles that led to the award, as well as other seminal works, divided into four parts: heuristic search, probabilistic reasoning, causality, first period (1988–2001), and causality, recent period (2002–2020). Each of these parts starts with an introduction written by Judea Pearl. The volume also contains original, contributed articles by leading researchers that analyze, extend, or assess the influence of Pearl’s work in different fields: from AI, Machine Learning, and Statistics to Cognitive Science, Philosophy, and the Social Sciences. The first part of the volume includes a biography, a transcript of his Turing Award Lecture, two interviews, and a selected bibliography annotated by him. |
| computer science and engineering ucla: Nonlinear Networks Alan N. Willson, 1975 |
| computer science and engineering ucla: Guide to e-Science Xiaoyu Yang, Lizhe Wang, Wei Jie, 2011-05-26 This guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. Features: includes contributions from an international selection of preeminent e-science experts and practitioners; discusses use of mainstream grid computing and peer-to-peer grid technology for “open” research and resource sharing in scientific research; presents varied methods for data management in data-intensive research; investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research; examines workflow technology for the automation of scientific processes; describes applications of e-science. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can perform …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
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Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including desktops, …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
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What is Computer? Definition, Characteristics and Classification
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Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
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