Items related to Reliable Reasoning: Induction and Statistical Learning...
Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lecture Series) - Hardcover
Synopsis
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.
After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.
"synopsis" may belong to another edition of this title.
About the Authors
Sanjeev Kulkarni is Professor of Electrical Engineering and an associated faculty member of the Department of Philosophy at Princeton University.
Gilbert Harman and Sanjeev Kulkarni are coauthors of An Elementary Introduction to Statistical Learning Theory. Harman is James S. McDonnell Distinguished University Professor of Philosophy at Princeton. Kulkarni is Professor of Electrical Engineering, an associated member of the Department of Philosophy, and Master of Butler College at Princeton University.
"About this title" may belong to another edition of this title.
Search results for Reliable Reasoning: Induction and Statistical Learning...
Stock Image
Reliable Reasoning : Induction and Statistical Learning Theory
Published by
MIT Press, 2007
ISBN 10: 0262083604
ISBN 13: 9780262083607
Used
Hardcover
First Edition
Seller: Better World Books, Mishawaka, IN, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects. Seller Inventory # 6510200-6
Quantity: 1 available
Stock Image
Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lecture Series)
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.6. Seller Inventory # G0262083604I4N10
Quantity: 1 available
Stock Image
Reliable Reasoning - Induction and Statistical Learning Theory (Jean Nicod Lectures)
Published by
MIT Press, 2007
ISBN 10: 0262083604
ISBN 13: 9780262083607
Used
Hardcover
First Edition
Seller: Shoemaker Booksellers, Gettysburg, PA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: Fine. Dust Jacket Condition: Near Fine. 1st Edition. Fine, hardcover copy in gray cloth in a near fine dustjacket. Contents are clean and free of any markings. Seller Inventory # 30077
Quantity: 1 available
Stock Image
Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lecture Series)
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0262083604
Quantity: 1 available