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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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An introduction to neural networks
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only cur…
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- ISBN/ISSN
- 9780262315883
- Collation
- 1 online resource (xi, 650 pages) : illustrations
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- Call Number
- 001 AND i
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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The neurocognitive theory of dreaming :the where, how, when, what, and why of…
"An up-to-date synthesis of the neurocognitive theory of dreaming as presented by its founder"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 0262370883
- Collation
- 1 online resource.
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- Call Number
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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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- Call Number
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Changing connectomes :evolution, development, and dynamics in network neurosc…
"An overview of how networks develop in the brain; from their emergence during early development to normal aging and in the presence of neurodevelopmental and neurodegenerative disorders"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 0262360829
- Collation
- 1 online resource.
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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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