Cambridge University Press
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A Computational Introduction to Number Theory and Algebra
Post date: 01 Sep 2006Provides an introduction to number theory and algebra, with an emphasis on algorithms and applications.
Publisher:
Cambridge University Press
Publication date: 16 Jun 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic
Publication date: 16 Jun 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic
A Computational Introduction to Number Theory and Algebra
Post date: 01 Sep 2006Provides an introduction to number theory and algebra, with an emphasis on algorithms and applications.
Publisher:
Cambridge University Press
Publication date: 16 Jun 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic
Publication date: 16 Jun 2008
License: Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic
Advanced Data Analysis from an Elementary Point of View
Post date: 29 Jun 2016A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.
Advanced Data Analysis from an Elementary Point of View
Post date: 29 Jun 2016A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.
Post date: 11 Sep 2009
This book argues through theory and example that intellectual monopoly is not necessary for innovation and as a practical matter is damaging to growth, prosperity and liberty.
This book argues through theory and example that intellectual monopoly is not necessary for innovation and as a practical matter is damaging to growth, prosperity and liberty.
Post date: 11 Sep 2009This book argues through theory and example that intellectual monopoly is not necessary for innovation and as a practical matter is damaging to growth, prosperity and liberty.
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Algorithmic Information Theory, Third Printing
Post date: 30 Nov 2006Presents the strongest possible version of Gödel's incompleteness theorem, using an information theoretic approach based on the size of computer programs.
Algorithmic Information Theory, Third Printing
Post date: 30 Nov 2006Presents the strongest possible version of Gödel's incompleteness theorem, using an information theoretic approach based on the size of computer programs.
An Introduction to Information Retrieval
Post date: 09 Nov 2007The book aims to provide a modern approach to information retrieval from a computer science perspective.
An Introduction to Information Retrieval
Post date: 09 Nov 2007The book aims to provide a modern approach to information retrieval from a computer science perspective.
An Introduction to Statistical Signal Processing
Post date: 13 Oct 2006Introduces the tools and techniques of statistical signal processing. Includes overview of basic probability, random objects, expectation, and second-order moment theory, with examples of random process models and their basic uses and properties.
An Introduction to Statistical Signal Processing
Post date: 13 Oct 2006Introduces the tools and techniques of statistical signal processing. Includes overview of basic probability, random objects, expectation, and second-order moment theory, with examples of random process models and their basic uses and properties.
Analyzing Linguistic Data: A Practical Introduction to Statistics using R
Post date: 11 Jul 2016A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background.
Analyzing Linguistic Data: A Practical Introduction to Statistics using R
Post date: 11 Jul 2016A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background.
Artificial Intelligence: Foundations of Computational Agents
Post date: 24 Jun 2016A textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.
Publisher:
Cambridge University Press
Publication date: 19 Apr 2010
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada
Publication date: 19 Apr 2010
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada
Artificial Intelligence: Foundations of Computational Agents
Post date: 24 Jun 2016A textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents.
Publisher:
Cambridge University Press
Publication date: 19 Apr 2010
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada
Publication date: 19 Apr 2010
License: Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Canada
Bayesian Reasoning and Machine Learning
Post date: 14 Apr 2016This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided.
Bayesian Reasoning and Machine Learning
Post date: 14 Apr 2016This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided.
Complexity Theory: A Modern Approach
Post date: 21 Oct 2006A draft of a textbook on computational complexity theory. Covers basic complexity classes, lowerbounds for concrete computational models, and some advanced topics.
Complexity Theory: A Modern Approach
Post date: 21 Oct 2006A draft of a textbook on computational complexity theory. Covers basic complexity classes, lowerbounds for concrete computational models, and some advanced topics.
Computational Complexity: A Conceptual Perspective (Draft)
Post date: 27 Oct 2006Focuses on the high level study of computation, exploring the connections among computational problems and notions. Covers theory of NP-completeness, approximation, probabilistic proof systems, pseudorandomness and cryptography.
Computational Complexity: A Conceptual Perspective (Draft)
Post date: 27 Oct 2006Focuses on the high level study of computation, exploring the connections among computational problems and notions. Covers theory of NP-completeness, approximation, probabilistic proof systems, pseudorandomness and cryptography.
Computational Semantics and Type Theory
Post date: 30 Oct 2006Covers applications of logic in the semantic analysis of language, specified in a functional programming (Haskell) framework.
Computational Semantics and Type Theory
Post date: 30 Oct 2006Covers applications of logic in the semantic analysis of language, specified in a functional programming (Haskell) framework.
Control Techniques for Complex Networks (Pre-publication Version)
Post date: 13 Sep 2016This book gives the tools and philosophy you need to build network models detailed enough to capture essential dynamics but simple enough to expose the structure of effective control solutions and to clarify analysis.
Control Techniques for Complex Networks (Pre-publication Version)
Post date: 13 Sep 2016This book gives the tools and philosophy you need to build network models detailed enough to capture essential dynamics but simple enough to expose the structure of effective control solutions and to clarify analysis.
Post date: 29 Sep 2006
This book helps the reader develop a working knowledge of convex optimization, i.e. to develop the skills and background needed to recognize, formulate, and solve convex optimization problems.
This book helps the reader develop a working knowledge of convex optimization, i.e. to develop the skills and background needed to recognize, formulate, and solve convex optimization problems.
Post date: 29 Sep 2006This book helps the reader develop a working knowledge of convex optimization, i.e. to develop the skills and background needed to recognize, formulate, and solve convex optimization problems.
Foundations of Signal Processing
Post date: 13 Jul 2016Covers state-of-the-art signal processing methods and techniques, and provides a solid foundation for those hoping to advance the theory and practice of signal processing.
Publisher:
Cambridge University Press
Publication date: 31 May 2014
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Publication date: 31 May 2014
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Foundations of Signal Processing
Post date: 13 Jul 2016Covers state-of-the-art signal processing methods and techniques, and provides a solid foundation for those hoping to advance the theory and practice of signal processing.
Publisher:
Cambridge University Press
Publication date: 31 May 2014
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
Publication date: 31 May 2014
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
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