Learnability Isnt Enough

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Probably Approximately Correct

Author : Leslie Valiant
Publisher : Basic Books
ISBN 13 : 0465037909
Total Pages : 210 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Probably Approximately Correct by : Leslie Valiant

Download or read book Probably Approximately Correct written by Leslie Valiant and published by Basic Books. This book was released on 2013-06-04 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns. How does life prosper in a complex and erratic world? While we know that nature follows patterns -- such as the law of gravity -- our everyday lives are beyond what known science can predict. We nevertheless muddle through even in the absence of theories of how to act. But how do we do it? In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is "probably approximately correct" algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence. Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

Understanding Machine Learning

Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Learning and Generalisation

Author : Mathukumalli Vidyasagar
Publisher : Springer Science & Business Media
ISBN 13 : 1447137485
Total Pages : 498 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Learning and Generalisation by : Mathukumalli Vidyasagar

Download or read book Learning and Generalisation written by Mathukumalli Vidyasagar and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Computational Approaches to Language Acquisition

Author : Michael R. Brent
Publisher : MIT Press
ISBN 13 : 9780262522298
Total Pages : 216 pages
Book Rating : 4.5/5 (222 download)

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Book Synopsis Computational Approaches to Language Acquisition by : Michael R. Brent

Download or read book Computational Approaches to Language Acquisition written by Michael R. Brent and published by MIT Press. This book was released on 1997 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past fifteen years have seen great changes in the field of language acquisition. New experimental methods have yielded insights into the linguistic knowledge of ever younger children, and interest has grown in the phonological, syntactic, and semantic aspects of the lexicon. Computational investigations of language acquisition have also changed, reflecting, among other things, the profound shift in the field of natural language processing from hand-crafted grammars to grammars that are learned automatically from samples of naturally occurring language.Each of the four research papers in this book takes a novel formal approach to a particular problem in language acquisition. In the first paper, J. M. Siskind looks at developmentally inspired models of word learning. In the second, M. R. Brent and T. A. Cartwright look at how children could discover the sounds of words, given that word boundaries are not marked by any acoustic analog of the spaces between written words. In the third, P. Resnik measures the association between verbs and the semantic categories of their arguments that children likely use as clues to verb meanings. Finally, P. Niyogi and R. C. Berwick address the setting of syntactic parameters such as headedness--for example, whether the direct object comes before or after the verb.

Language Learnability and L2 Phonology

Author : J. Archibald
Publisher : Springer Science & Business Media
ISBN 13 : 9401120560
Total Pages : 196 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Language Learnability and L2 Phonology by : J. Archibald

Download or read book Language Learnability and L2 Phonology written by J. Archibald and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book Archibald describes two studies conducted within a parametric framework in the area of second language acquisition. The studies are designed to investigate the acquisition of English stress patterns (via both production and perception tasks) by adult speakers of Polish and Hungarian. Archibald argues that interlanguage grammars can be understood as a mix of L1 transfer and the effects of Universal Grammar. Metrical parameters related to such things as quantity--sensitivity, extrametricality, and word--tree dominance determine the structure of the interlanguage. The author reports that the subjects are remarkably successful at acquiring English stress and do not appear to violate proposed universals of metrical phonology. This book is one of the few attempts to investigate the acquisition of L2 phonology within a UG framework. Empirical support is provided for the parametric model to an extent uncommon in most syntactic studies.

Innovations in Machine Learning

Author : Dawn E. Holmes
Publisher : Springer Science & Business Media
ISBN 13 : 3540306099
Total Pages : 285 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Innovations in Machine Learning by : Dawn E. Holmes

Download or read book Innovations in Machine Learning written by Dawn E. Holmes and published by Springer Science & Business Media. This book was released on 2006-03-09 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.

Advances in the Evolutionary Synthesis of Intelligent Agents

Author : Mukesh Patel
Publisher : MIT Press
ISBN 13 : 9780262162012
Total Pages : 510 pages
Book Rating : 4.1/5 (62 download)

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Book Synopsis Advances in the Evolutionary Synthesis of Intelligent Agents by : Mukesh Patel

Download or read book Advances in the Evolutionary Synthesis of Intelligent Agents written by Mukesh Patel and published by MIT Press. This book was released on 2001 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information. Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

The Computer and the Mind

Author : Philip Nicholas Johnson-Laird
Publisher : Harvard University Press
ISBN 13 : 9780674156166
Total Pages : 452 pages
Book Rating : 4.1/5 (561 download)

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Book Synopsis The Computer and the Mind by : Philip Nicholas Johnson-Laird

Download or read book The Computer and the Mind written by Philip Nicholas Johnson-Laird and published by Harvard University Press. This book was released on 1988 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a field choked with seemingly impenetrable jargon, Philip N. Johnson-Laird has done the impossible: written a book about how the mind works that requires no advance knowledge of artificial intelligence, neurophysiology, or psychology. The mind, he says, depends on the brain in the same way as the execution of a program of symbolic instructions depends on a computer, and can thus be understood by anyone willing to start with basic principles of computation and follow his step-by-step explanations. The author begins with a brief account of the history of psychology and the birth of cognitive science after World War II. He then describes clearly and simply the nature of symbols and the theory of computation, and follows with sections devoted to current computational models of how the mind carries out all its major tasks, including visual perception, learning, memory, the planning and control of actions, deductive and inductive reasoning, and the formation of new concepts and new ideas. Other sections discuss human communication, meaning, the progress that has been made in enabling computers to understand natural language, and finally the difficult problems of the conscious and unconscious mind, free will, needs and emotions, and self-awareness. In an envoi, the author responds to the critics of cognitive science and defends the computational view of the mind as an alternative to traditional dualism: cognitive science integrates mind and matter within the same explanatory framework. This first single-authored introduction to cognitive science will command the attention of students of cognitive science at all levels including psychologists, linguists, computer scientists, philosophers, and neuroscientists--as well as all readers curious about recent knowledge on how the mind works.

Algorithmic Learning Theory

Author : Marcus Hutter
Publisher : Springer Science & Business Media
ISBN 13 : 3642161073
Total Pages : 432 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Algorithmic Learning Theory by : Marcus Hutter

Download or read book Algorithmic Learning Theory written by Marcus Hutter and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on the campus of the Australian National University, Canberra, Australia. ALT provides a forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as inductive inference, universal prediction, teaching models, grammatical inference, formal languages, inductive logic programming, query learning, complexity of learning, on-line learning and relative loss bounds, semi-supervised and unsupervised learning, clustering,activelearning,statisticallearning,supportvectormachines,Vapnik- Chervonenkisdimension,probablyapproximatelycorrectlearning,Bayesianand causal networks, boosting and bagging, information-based methods, minimum descriptionlength,Kolmogorovcomplexity,kernels,graphlearning,decisiontree methods, Markov decision processes, reinforcement learning, and real-world - plications of algorithmic learning theory. DS 2010 was the 13th International Conference on Discovery Science and focused on the development and analysis of methods for intelligent data an- ysis, knowledge discovery and machine learning, as well as their application to scienti?c knowledge discovery. As is the tradition, it was co-located and held in parallel with Algorithmic Learning Theory.

Computational Learning Theory

Author : Paul Vitanyi
Publisher : Springer Science & Business Media
ISBN 13 : 9783540591191
Total Pages : 442 pages
Book Rating : 4.5/5 (911 download)

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Book Synopsis Computational Learning Theory by : Paul Vitanyi

Download or read book Computational Learning Theory written by Paul Vitanyi and published by Springer Science & Business Media. This book was released on 1995-02-23 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers. All relevant topics in fundamental studies of computational aspects of artificial and natural learning systems and machine learning are covered; in particular artificial and biological neural networks, genetic and evolutionary algorithms, robotics, pattern recognition, inductive logic programming, decision theory, Bayesian/MDL estimation, statistical physics, and cryptography are addressed.

Algorithmic Learning Theory

Author : Jyriki Kivinen
Publisher : Springer
ISBN 13 : 3642244122
Total Pages : 465 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Algorithmic Learning Theory by : Jyriki Kivinen

Download or read book Algorithmic Learning Theory written by Jyriki Kivinen and published by Springer. This book was released on 2011-10-07 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

Building a Community of Self-Motivated Learners

Author : Larry Ferlazzo
Publisher : Routledge
ISBN 13 : 131775364X
Total Pages : 111 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Building a Community of Self-Motivated Learners by : Larry Ferlazzo

Download or read book Building a Community of Self-Motivated Learners written by Larry Ferlazzo and published by Routledge. This book was released on 2015-03-12 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Award-winning teacher, blogger, and author Larry Ferlazzo is back with more insightful research and strategies for helping students want to care more about school and learning. In his previous books on motivation—Helping Students Motivate Themselves and Self-Driven Learning—he tackled ways to help students build intrinsic motivation by how you use class time, manage your class, encourage students to feel positive about learning, help them not feel burned out by testing, and more. In this book, he looks at how teachers can create classroom conditions that are needed for motivation to grow in the first place. Ferlazzo provides research-based suggestions on what you can do today to help students want to develop qualities like physical health, grit, flow, and a desire to transfer what they’re learning to life outside of school. At the end of each chapter, you’ll find high-interest lesson plans, correlated to the Common Core ELA/Literacy Standards, that set the stage for long-term positive impacts. Students will read about sports stars, how maintaining a healthy lifestyle can help them achieve their goals, and other engaging topics. They will integrate information from various texts and make connections to their own lives, hopes and dreams—a more powerful way to learn to care than being told they should. The readings for these lessons and other tools are available as free eResources on our website so you can easily print them for your students.

Learning, Keeping and Using Language

Author : M.A.K. Halliday
Publisher : John Benjamins Publishing
ISBN 13 : 902727374X
Total Pages : 530 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Learning, Keeping and Using Language by : M.A.K. Halliday

Download or read book Learning, Keeping and Using Language written by M.A.K. Halliday and published by John Benjamins Publishing. This book was released on 1990-01-01 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from the Eight World Congress of Applied Linguistics held in Sydney in 1987. Volume I starts off with an overview of the field by G. Richard Tucker in which he identifies two areas: innovative language education and language education policy. The overal focus of the papers to follow focus on the individual language learner, how that individual, in given contexts or in interaction with specific others, develops a command of a first language, of two or more first languages, or of a second language, in home and in classroom settings. At the same time, cutting across these variables, there is a gradual shifting of attention from investigations of the language learning process to proposals for language teaching curricula and syllabuses.

Empiricism and Language Learnability

Author : Nick Chater
Publisher : OUP Oxford
ISBN 13 : 0191053597
Total Pages : 217 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Empiricism and Language Learnability by : Nick Chater

Download or read book Empiricism and Language Learnability written by Nick Chater and published by OUP Oxford. This book was released on 2015-07-09 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary new work explores one of the central theoretical problems in linguistics: learnability. The authors, from different backgrounds---linguistics, philosophy, computer science, psychology and cognitive science-explore the idea that language acquisition proceeds through general purpose learning mechanisms, an approach that is broadly empiricist both methodologically and psychologically. For many years, the empiricist approach has been taken to be unfeasible on practical and theoretical grounds. In the book, the authors present a variety of precisely specified mathematical and computational results that show that empiricist approaches can form a viable solution to the problem of language acquisition. It assumes limited technical background and explains the fundamental principles of probability, grammatical description and learning theory in an accessible and non-technical way. Different chapters address the problem of language acquisition using different assumptions: looking at the methodology of linguistic analysis using simplicity based criteria, using computational experiments on real corpora, using theoretical analysis using probabilistic learning theory, and looking at the computational problems involved in learning richly structured grammars. Written by four researchers in the full range of relevant fields: linguistics (John Goldsmith), psychology (Nick Chater), computer science (Alex Clark), and cognitive science (Amy Perfors), the book sheds light on the central problems of learnability and language, and traces their implications for key questions of theoretical linguistics and the study of language acquisition.

Probably Approximately Correct

Author : Leslie Valiant
Publisher : Basic Books (AZ)
ISBN 13 : 0465032710
Total Pages : 210 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Probably Approximately Correct by : Leslie Valiant

Download or read book Probably Approximately Correct written by Leslie Valiant and published by Basic Books (AZ). This book was released on 2013-06-04 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature.

Language Learnability and Language Development

Author : Steven Pinker
Publisher : Harvard University Press
ISBN 13 : 0674042174
Total Pages : 474 pages
Book Rating : 4.6/5 (74 download)

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Book Synopsis Language Learnability and Language Development by : Steven Pinker

Download or read book Language Learnability and Language Development written by Steven Pinker and published by Harvard University Press. This book was released on 2009-07-01 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this influential study, Steven Pinker develops a new approach to the problem of language learning. Now reprinted with new commentary by the author, this classic work continues to be an indispensable resource in developmental psycholinguistics.

Theoretical Computer Science - Proceedings Of The 4th Italian Conference

Author : P Mentrasti
Publisher : World Scientific
ISBN 13 : 9814553573
Total Pages : 373 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Theoretical Computer Science - Proceedings Of The 4th Italian Conference by : P Mentrasti

Download or read book Theoretical Computer Science - Proceedings Of The 4th Italian Conference written by P Mentrasti and published by World Scientific. This book was released on 1992-10-15 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an up-to-date record of Italian research on theoretical computer science. The main topics featured are: algorithms and complexity, automata and formal languages, concurrency, databases, logic, functional and object-oriented programming, parallel algorithms and architectures, semantics of programming languages, rewriting systems, and others.