Title The mathematics of generalization : the proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning / editor, David H. Wolpert

Published Boca Raton : CRC Press, 2018

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Series Santa Fe Institute studies in the sciences of complexity. Proceedings ; v. 20 Proceedings volume in the Santa Fe Institute studies in the sciences of complexity ; v. 20. Contents Preface / David H. Wolpert -- The Status of Supervised Learning Science circa 1994 -- The Search for a Consensus / David H. Wolpert -- Reflections After Refereeing Papers for NIPS / Leo Breiman -- The Probably Approximately Correct (PAC) and Other Learning Models / David Haussler and Manfred Warmuth -- Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications / David Haussler -- The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework / David H. Wolpert -- Statistical Physics Models of Supervised Learning / Naftali Tishby -- On Exhaustive Learning / David H. Wolpert and Alan S. Lapedes -- A Study of Maximal-Coverage Learning Algorithms / Hussein Almuallim and Thomas G. Dietterich -- a On Bayesian Model Selection / Peter Cheeseman -- Soft Classification, a.k.a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance / Grace Wahba, Chong Gu, Yuedong Wang and Richard Campbell Current Research / Leo Breiman -- Preface to Simplifying Neural Networks by Soft Weight Sharing / Geoffrey E. Hinton and Steven Nowlan -- Simplifying Neural Networks by Soft Weight Sharing / Geoffrey E. Hinton and Steven Nowlan -- Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs / Thomas G. Dietterich and Ghulum Bakiri -- Image Segmentation and Recognition / John S. Denker and Christopher C.J. Burges Notes Workshop held Aug. 1992 in Santa Fe, N.M Bibliography Includes bibliographical references and index Notes Online resource; title from PDF title page (EBSCO, viewed March 19, 2018) Subject Supervised learning (Machine learning) -- Congresses Neural networks (Computer science) -- Congresses SCIENCE -- System Theory. TECHNOLOGY & ENGINEERING -- Operations Research. Neural networks (Computer science) Supervised learning (Machine learning) Genre/Form Conference papers and proceedings Form Electronic book Author Wolpert, David H.

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