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An introduction to computational learning theory
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with th…
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- ISBN/ISSN
- 0585350531
- Collation
- 1 online resource (xii, 207 pages) :illustrations
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- Call Number
- 005 KEA i
Intelligence emerging : adaptivity and search in evolving neural systems
"Emergence--the formation of global patterns from solely local interactions--is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how the…
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- ISBN/ISSN
- 0262328666
- Collation
- 1 online resource (xxii, 475 pages) :illustrations
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How Smart Machines Think
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these thingswork? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning t…
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- ISBN/ISSN
- 9780262347938
- Collation
- 1 online resource (xiv, 298 pages)
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Machine learning for data streams with practical examples in MOA
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262346047
- Collation
- 1 online resource (xxi, 262 pages) :illustrations.
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Gradient expectations :structure, origins, and synthesis of predictive neural…
An insightful investigation into the mechanisms underlying the predictive functions of neural networks--and their ability to chart a new path for AI. Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to im…
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- ISBN/ISSN
- 9780262374675
- Collation
- 1 online resource (280 pages).
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Advances in neural information processing systems 19 :proceedings of the 2006…
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262256919
- Collation
- 1 online resource (xxiv, 1643 pages) :illustrations.
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Mechanisms of implicit learning :connectionist models of sequence processing
"Axel Cleeremans is a Senior Research Assistant at the National Fund for Scientific Research, Belgium.""A Bradford book.""What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspec…
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- ISBN/ISSN
- 0585020388
- Collation
- 1 online resource (xii, 227 pages) :illustrations.
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- Call Number
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Pulsed neural networks
"A Bradford book."Presents a spectrum of current research in pulsed neural networks and includes work from some of the key scientists in the field.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262278768
- Collation
- 1 online resource (xxix, 377 pages) :illustrations
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Stability and Synchronization Control of Stochastic Neural Networks
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control- quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to s…
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- ISBN/ISSN
- 978-3-662-47833-2
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