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Algorithms
In the tradition of Real World Algorithms: A Beginner's Guide, Panos Louridas is back to introduce algorithms in an accessible manner, utilizing various examples to explain not just what algorithms are but how they work. Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling,…
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- ISBN/ISSN
- 9780262358675
- Collation
- 1 online resource
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Handling digital brains :a laboratory study of multimodal semiotic interactio…
This title is an analysis of how fMRI researchers actively involve their bodies - with hand movements in particular - in laboratory practice.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262295475
- Collation
- 1 online resource (xii, 199 pages) :illustrations (some color).
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Neural networks for pattern recognition
"A Bradford book.""Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nig…
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- ISBN/ISSN
- 0262290936
- Collation
- 1 online resource (xvii, 413 pages) :illustrations
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Throughout: Art and culture emerging with ubiquitous computing
Leading media scholars consider the social and cultural changes that come with the contemporary development of ubiquitous computing. Ubiquitous computing and our cultural life promise to become completely interwoven: technical currents feed into our screen culture of digital television, video, home computers, movies, and high-resolution advertising displays. Technology has become at once larger…
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- ISBN/ISSN
- 9780262305259
- Collation
- 1 online resource (664 pages).
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Neural computing architectures :the design of brain-like machines
"McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cognitive science. While Neural Computing Architectures addresses the same issues, there is little overlap in the research it reports. These 18 contributions provide a timely and informative overview…
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- 1st MIT Press ed.
- ISBN/ISSN
- 0262255596
- Collation
- 1 online resource (401 pages) :illustrations
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Neural network learning and expert systems
"Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.""A Bradford Book.""Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-o…
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- ISBN/ISSN
- 0585040281
- Collation
- 1 online resource (xvi, 365 pages) :illustrations
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Neural network design and the complexity of learning
"A Bradford book.""Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier. Judd looks beyond the scope of any one particular learning rule, at a level abo…
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- ISBN/ISSN
- 0585359342
- Collation
- 1 online resource (150 pages) :illustrations.
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Neural networks and natural intelligence
"A Bradford book."Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…
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- ISBN/ISSN
- 9780262315937
- Collation
- 1 online resource (xi, 637 pages) :illustrations
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Neural smithing :supervised learning in feedforward artificial neural networks
"A Bradford book.""Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks c…
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- ISBN/ISSN
- 9780262282215
- Collation
- 1 online resource (viii, 346 pages) :illustrations
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Neural networks for control
"A Bradford book.""Based on a workshop held at the University of New Hampshire in October, 1988, sponsored by the National Science Foundation, and entitled 'The application of neural networks to robotics and control'"--Preface."Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concer…
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- ISBN/ISSN
- 9780262291293
- Collation
- 1 online resource (xviii, 524 pages) :illustrations.
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