Perceptrons An Introduction To Computational Geometry

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Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou

Author : Marvin Minsky
Publisher : MIT Press
ISBN 13 : 0262534770
Total Pages : 317 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou by : Marvin Minsky

Download or read book Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou written by Marvin Minsky and published by MIT Press. This book was released on 2017-09-22 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first systematic study of parallelism in computation by two pioneers in the field. Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou In 1969, ten years after the discovery of the perceptron—which showed that a machine could be taught to perform certain tasks using examples—Marvin Minsky and Seymour Papert published Perceptrons, their analysis of the computational capabilities of perceptrons for specific tasks. As Léon Bottou writes in his foreword to this edition, “Their rigorous work and brilliant technique does not make the perceptron look very good.” Perhaps as a result, research turned away from the perceptron. Then the pendulum swung back, and machine learning became the fastest-growing field in computer science. Minsky and Papert's insistence on its theoretical foundations is newly relevant. Perceptrons—the first systematic study of parallelism in computation—marked a historic turn in artificial intelligence, returning to the idea that intelligence might emerge from the activity of networks of neuron-like entities. Minsky and Papert provided mathematical analysis that showed the limitations of a class of computing machines that could be considered as models of the brain. Minsky and Papert added a new chapter in 1987 in which they discuss the state of parallel computers, and note a central theoretical challenge: reaching a deeper understanding of how “objects” or “agents” with individuality can emerge in a network. Progress in this area would link connectionism with what the authors have called “society theories of mind.”

Perceptrons - an Introduction to Computational Geometry

Author : marvin and papert Minsky
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Perceptrons - an Introduction to Computational Geometry by : marvin and papert Minsky

Download or read book Perceptrons - an Introduction to Computational Geometry written by marvin and papert Minsky and published by . This book was released on 1969 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discrete and Computational Geometry

Author : Satyan L. Devadoss
Publisher : Princeton University Press
ISBN 13 : 1400838983
Total Pages : 270 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Discrete and Computational Geometry by : Satyan L. Devadoss

Download or read book Discrete and Computational Geometry written by Satyan L. Devadoss and published by Princeton University Press. This book was released on 2011-04-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential introduction to discrete and computational geometry Discrete geometry is a relatively new development in pure mathematics, while computational geometry is an emerging area in applications-driven computer science. Their intermingling has yielded exciting advances in recent years, yet what has been lacking until now is an undergraduate textbook that bridges the gap between the two. Discrete and Computational Geometry offers a comprehensive yet accessible introduction to this cutting-edge frontier of mathematics and computer science. This book covers traditional topics such as convex hulls, triangulations, and Voronoi diagrams, as well as more recent subjects like pseudotriangulations, curve reconstruction, and locked chains. It also touches on more advanced material, including Dehn invariants, associahedra, quasigeodesics, Morse theory, and the recent resolution of the Poincaré conjecture. Connections to real-world applications are made throughout, and algorithms are presented independently of any programming language. This richly illustrated textbook also features numerous exercises and unsolved problems. The essential introduction to discrete and computational geometry Covers traditional topics as well as new and advanced material Features numerous full-color illustrations, exercises, and unsolved problems Suitable for sophomores in mathematics, computer science, engineering, or physics Rigorous but accessible An online solutions manual is available (for teachers only).

Computational Geometry

Author : Franco P. Preparata
Publisher : Springer Science & Business Media
ISBN 13 : 1461210984
Total Pages : 413 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Computational Geometry by : Franco P. Preparata

Download or read book Computational Geometry written by Franco P. Preparata and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "This book offers a coherent treatment, at the graduate textbook level, of the field that has come to be known in the last decade or so as computational geometry. ... ... The book is well organized and lucidly written; a timely contribution by two founders of the field. It clearly demonstrates that computational geometry in the plane is now a fairly well-understood branch of computer science and mathematics. It also points the way to the solution of the more challenging problems in dimensions higher than two." #Mathematical Reviews#1 "... This remarkable book is a comprehensive and systematic study on research results obtained especially in the last ten years. The very clear presentation concentrates on basic ideas, fundamental combinatorial structures, and crucial algorithmic techniques. The plenty of results is clever organized following these guidelines and within the framework of some detailed case studies. A large number of figures and examples also aid the understanding of the material. Therefore, it can be highly recommended as an early graduate text but it should prove also to be essential to researchers and professionals in applied fields of computer-aided design, computer graphics, and robotics." #Biometrical Journal#2

Computation: Finite and Infinite Machines

Author : Marvin Lee Minsky
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Computation: Finite and Infinite Machines by : Marvin Lee Minsky

Download or read book Computation: Finite and Infinite Machines written by Marvin Lee Minsky and published by Prentice Hall. This book was released on 1967 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Cambridge Handbook of Computational Psychology

Author : Ron Sun
Publisher : Cambridge University Press
ISBN 13 : 0521674107
Total Pages : 767 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun

Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

A Student's Guide to the Schrödinger Equation

Author : Daniel A. Fleisch
Publisher : Cambridge University Press
ISBN 13 : 1108834736
Total Pages : 237 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis A Student's Guide to the Schrödinger Equation by : Daniel A. Fleisch

Download or read book A Student's Guide to the Schrödinger Equation written by Daniel A. Fleisch and published by Cambridge University Press. This book was released on 2020-02-20 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear guide to the key concepts and mathematical techniques underlying the Schrödinger equation, including homework problems and fully worked solutions.

Algebraic Geometry and Statistical Learning Theory

Author : Sumio Watanabe
Publisher : Cambridge University Press
ISBN 13 : 0521864674
Total Pages : 295 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Algebraic Geometry and Statistical Learning Theory by : Sumio Watanabe

Download or read book Algebraic Geometry and Statistical Learning Theory written by Sumio Watanabe and published by Cambridge University Press. This book was released on 2009-08-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.

The Turing Option

Author : Harry Harrison
Publisher : Tor Books
ISBN 13 : 1466822821
Total Pages : 413 pages
Book Rating : 4.4/5 (668 download)

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Book Synopsis The Turing Option by : Harry Harrison

Download or read book The Turing Option written by Harry Harrison and published by Tor Books. This book was released on 2012-07-03 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turing Option is written by Harry Harrison who is also the author of Deathworld, Make Room! Make Room! (filmed as Soylent Green), the popular Stainless Steel Rat books, and many other famous works of SF. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Introduction to Machine Learning

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262028182
Total Pages : 639 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Computational Intelligence

Author : Andries P. Engelbrecht
Publisher : John Wiley & Sons
ISBN 13 : 9780470512500
Total Pages : 628 pages
Book Rating : 4.5/5 (125 download)

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Book Synopsis Computational Intelligence by : Andries P. Engelbrecht

Download or read book Computational Intelligence written by Andries P. Engelbrecht and published by John Wiley & Sons. This book was released on 2007-10-22 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library. Key features of this second edition include: A tutorial, hands-on based presentation of the material. State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI). New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems. A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms. Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework. Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains. Check out http://www.ci.cs.up.ac.za for examples, assignments and Java code implementing the algorithms.

Counter-free Automata

Author : Robert McNaughton
Publisher : MIT Press (MA)
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Counter-free Automata by : Robert McNaughton

Download or read book Counter-free Automata written by Robert McNaughton and published by MIT Press (MA). This book was released on 1971 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: A particular class of finite-state automata, christened by the authors "counter-free," is shown here to behave like a good actor: it can drape itself so thoroughly in the notational guise and embed itself so deeply in the conceptual character of several quite different approaches to automata theory that on the surface it is hard to believe that all these roles are being assumed by the same class. This is one of the reasons it has been chosen for study here. The authors write that they "became impressed with the richness of its mathematical complexity" and that "a sure sign of gold is when profound mathematical theory interacts with problems that arise independently. And indeed it is noteworthy that the class of automata we shall discuss was defined more or less explicitly by several people working from very different directions and using very different concepts. The remarkable happening was that these definitions could not be recognized as equivalent until algebraic tools of analysis were brought to the field in the works of Schutzenberger and in the works of Krohn and Rhodes." The theme of the monograph is the utility and equivalence of these different definitions of counter-free automata. Its organization follows the plan of taking up, one by one, each of a number of different conceptualizations: the historically important "nerve net" approach; the algebraic approach, in which automata are treated as semigroups; the "classical" theory based on state transition diagrams; the "linguistic" approach based on the concept of regular expressions; and the "behavioral" descriptions using symbolic logic. In each of these conceptual areas, the class of automata under study is found in a new guise. Each time it appears as yet another special case. The authors' burden is to show that all these definitions are in fact equivalent. Care has been taken so that this research monograph can be used as a self-sufficient text. Notations have been defined carefully and always in the context of the discussion. Most of the chapters end with a substantial number of exercises. It is self-contained in that all concepts are defined, and all theorems used are, with one exception, either fully proved or safely left as exercises for the student.

An Introduction to Neural Networks

Author : Kevin Gurney
Publisher : CRC Press
ISBN 13 : 1482286998
Total Pages : 234 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis An Introduction to Neural Networks by : Kevin Gurney

Download or read book An Introduction to Neural Networks written by Kevin Gurney and published by CRC Press. This book was released on 2018-10-08 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.

The Emotion Machine

Author : Marvin Minsky
Publisher : Simon and Schuster
ISBN 13 : 1416579303
Total Pages : 400 pages
Book Rating : 4.4/5 (165 download)

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Book Synopsis The Emotion Machine by : Marvin Minsky

Download or read book The Emotion Machine written by Marvin Minsky and published by Simon and Schuster. This book was released on 2007-11-13 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are. Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.

The Computational Beauty of Nature

Author : Gary William Flake
Publisher : MIT Press
ISBN 13 : 9780262561273
Total Pages : 524 pages
Book Rating : 4.5/5 (612 download)

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Book Synopsis The Computational Beauty of Nature by : Gary William Flake

Download or read book The Computational Beauty of Nature written by Gary William Flake and published by MIT Press. This book was released on 2000-01-27 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. In this book Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing "agents" (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as "beautiful" and "interesting." From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation. Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.

Society Of Mind

Author : Marvin Minsky
Publisher : Simon and Schuster
ISBN 13 : 0671657135
Total Pages : 342 pages
Book Rating : 4.6/5 (716 download)

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Book Synopsis Society Of Mind by : Marvin Minsky

Download or read book Society Of Mind written by Marvin Minsky and published by Simon and Schuster. This book was released on 1988-03-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Methodologies -- Artificial Intelligence.

Reinforcement Learning, second edition

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.