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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
- Series Title
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- Call Number
- 005 KEA i
Perceptual learning
"A Bradford book."Perceptual learning is the specific and relatively permanent modification of perception and behavior following sensory experience. It encompasses parts of the learning process that are independent from conscious forms of learning and involve structural and/or functional changes in primary sensory cortices. A familiar example is the treatment for a "lazy" or crossed eye. Coveri…
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- ISBN/ISSN
- 9780262272469
- Collation
- 1 online resource (xx, 455 pages) :illustrations.
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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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- Call Number
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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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Perturbations optimization and statistics
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of wo…
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- ISBN/ISSN
- 9780262337939
- Collation
- 1 online resource (ix, 401 pages).
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- Call Number
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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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- Call Number
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Advanced Structured Prediction
The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. …
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- ISBN/ISSN
- 0262322951
- Collation
- 1 online resource (ix, 415 pages) :illustrations.
- Series Title
- -
- Call Number
- -
Principles of knowledge auditing :foundations for knowledge management implem…
"An expert on the topic of knowledge managment argues how the process of KM implementation can be improved"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262373166
- Collation
- 1 online resource
- Series Title
- -
- Call Number
- -
The AI playbook :mastering the rare art of machine learning deployment
"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262378123
- Collation
- 1 online resource.
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- -
- Call Number
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Distributional reinforcement learning
"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"--OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262374026
- Collation
- 1 online resource.
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- Call Number
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