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Live coding :a user's manual
"A multi-authored comprehensive introduction to live coding's potential open up deeper questions about contemporary cultural production and computational culture"--OCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 9780262372633
- Collation
- 1 online resource.
- Series Title
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- Call Number
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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…
- Edition
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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
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
- Series Title
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- Call Number
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An introduction to genetic algorithms
"A Bradford book."Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in d…
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- ISBN/ISSN
- 9780262280013
- Collation
- 1 online resource (viii, 205 pages) :illustrations.
- Series Title
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- Call Number
- 510 MIT i
Algorithmic Rights and Protections for Children
Essays on the challenges and risks of designing algorithms and platforms for children, with an emphasis on algorithmic justice, learning, and equity. One in three Internet users worldwide is a child, and what children see and experience online is increasingly shaped by algorithms. Though children's rights and protections are at the center of debates on digital privacy, safety, and Internet g…
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- ISBN/ISSN
- 9780262374316
- Collation
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Once upon an algorithm how stories explain computing
How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262341691
- Collation
- 1 online resource
- Series Title
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- Call Number
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What algorithms want imagination in the age of computing
The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek.OCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 9780262338837
- Collation
- 1 online resource (viii, 257 pages) :illustrations.
- Series Title
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- Call Number
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An introduction to lifted probabilistic inference
"The book presents an introduction to, and an authoritative guide, for anyone interested in the problem of probabilistic inference in the presence of symmetries/structured models"--OCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 0262365596
- Collation
- 1 online resource.
- Series Title
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- Call Number
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Evolvable Hardware From Practice to Application
This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both acad…
- Edition
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- ISBN/ISSN
- 978-3-662-44616-4
- Collation
- 109 b/w illustrations, 78 illustrations in colour
- Series Title
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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. …
- Edition
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- ISBN/ISSN
- 0262322951
- Collation
- 1 online resource (ix, 415 pages) :illustrations.
- Series Title
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- Call Number
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