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Synopsis
The implications for philosophy and cognitive science of developments in statistical learning theory.
"synopsis" may belong to another edition of this title.
About the Authors
Gilbert Harman is Stuart Professor of Philosophy at Princeton University and the author of Explaining Value and Other Essays in Moral Philosophy and Reasoning, Meaning, and Mind.
Sanjeev Kulkarni is Professor of Electrical Engineering and an associated faculty member of the Department of Philosophy at Princeton University with many publications in statistical learning theory.
"About this title" may belong to another edition of this title.
- PublisherMIT Press
- Publication date2012
- ISBN 10 0262517345
- ISBN 13 9780262517348
- BindingPaperback
- LanguageEnglish
- Number of pages118
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Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)
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Reliable Reasoning
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Reliable Reasoning: Induction and Statistical Learning Theory
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MIT Press Ltd, 2012
ISBN 10: 0262517345
ISBN 13: 9780262517348
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Reliable Reasoning
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Reliable Reasoning Induction and Statistical Learning Theory
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Reliable Reasoning : Induction and Statistical Learning Theory
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni--a philosopher and an engineer--argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors--a central topic in SLT. Seller Inventory # 9780262517348
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Reliable Reasoning
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Condition: New. Gilbert Harman is Stuart Professor of Philosophy at Princeton University and the author of Explaining Value and Other Essays in Moral Philosophy and Reasoning, Meaning, and Mind.Sanjeev Kulkarni is Professor of Electrical Engineering a. Seller Inventory # 1726894307
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