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Found 394 from your keywords: subject="Networks"
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cover
Circuit Complexity and Neural Networks
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Parberry, Ian

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circ…

Edition
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ISBN/ISSN
9780262281249
Collation
1 online resource (xxix, 270 pages) :illustrations.
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-
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cover
City of Bits : Space, Place, and the Infobahn
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MITCHELL, William J.

Entertaining, concise, and relentlessly probing, City of Bits is a comprehensive introduction to a new type of city, an increasingly important system of virtual spaces interconnected by the information superhighway. William Mitchell makes extensive use of practical examples and illustrations in a technically well-grounded yet accessible examination of architecture and urbanism in the context of…

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ISBN/ISSN
9780262279956
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-
Call Number
720 MIT c
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New directions in statistical signal processing :from systems to brain
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Haykin, Simon S.,

Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directi…

Edition
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ISBN/ISSN
9780262256315
Collation
1 online resource (vi, 514 pages) :illustrations.
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-
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The Computational Brain
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Sejnowski, Terrence J.Churchland, Patricia Smith.

"A Bradford book.""How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neu…

Edition
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ISBN/ISSN
9780262270298
Collation
1 online resource (xi, 544 pages) :illustrations.
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-
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cover
Computational Explorations in Cognitive Neuroscience: Understanding the Mind …
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O'REILLY, Randall C.MUNAKATA, Yuko

"A Bradford book."The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in th…

Edition
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ISBN/ISSN
9780262280907
Collation
1 online resource (xxvii, 504 pages) :illustrations
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-
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cover
Talking Nets: An Oral History of Neural Networks
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Anderson, James A.Rosenfeld, Edward.

A Bradford book."OCLC-licensed vendor bibliographic record.

Edition
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ISBN/ISSN
9780262267151
Collation
1 online resource (xi, 434 pages) :illustrations
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-
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-
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cover
Networked: The new social operating system
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Rainie, LeeWellman, Barry

Daily life is connected life, its rhythms driven by endless email pings and responses, the chimes and beeps of continually arriving text messages, tweets and retweets, Facebook updates, pictures and videos to post and discuss. Our perpetual connectedness gives us endless opportunities to be part of the give-and-take of networking. Some worry that this new environment makes us isolated and lo…

Edition
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ISBN/ISSN
9780262301190
Collation
1 online resource (xiii, 358 pages) :illustrations
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-
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cover
Independent component analysis : a tutorial introduction
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Stone, James V.,

"A Bradford book."Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data set…

Edition
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ISBN/ISSN
9780262257046
Collation
1 online resource (xviii, 193 pages) : illustrations
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Call Number
006 STO i
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Unsupervised learning :foundations of neural computation
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Hinton, Geoffrey E.Sejnowski, Terrence J.

A Bradford book."OCLC-licensed vendor bibliographic record.

Edition
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ISBN/ISSN
9780262288033
Collation
1 online resource (xvi, 398 pages) :illustrations.
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cover
Connectionist symbol processing
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HINTON, Geoffrey

"A Bradford book.""Reprinted from Artificial intelligence, an international journal, volume 46, numbers 1-2, 1990"--Title page verso.The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple lear…

Edition
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ISBN/ISSN
9780262256360
Collation
1 online resource (262 pages) :illustrations.
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-
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-
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