Proceedings of the Fourth Annual Workshop on Computational Learning Theory PDF Download

Author: Workshop on Computational Learning Theory
Publisher:
ISBN: 9781558602137
Category : Computational learning theory
Languages : en
Pages : 408

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Author: Shai Ben-David
Publisher: Springer Science & Business Media
ISBN: 9783540626855
Category : Computers
Languages : en
Pages : 350

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Content Description #Includes bibliographical references and index.

Author: Pennsy Acm Workshop on Computational Learning Theory 1992 Pittsburgh
Publisher: Assn for Computing Machinery
ISBN: 9780897914970
Category : Algorithms
Languages : en
Pages : 468

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Author: Leo Breiman
Publisher: SIAM
ISBN: 9780898712964
Category : Mathematics
Languages : en
Pages : 740

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Approximation of Large-Scale Dynamical Systems

Author: COLT
Publisher: Morgan Kaufmann
ISBN: 1483299147
Category : Computers
Languages : en
Pages : 396

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COLT

Author: David Helmbold
Publisher: Springer
ISBN: 3540445811
Category : Computers
Languages : en
Pages : 639

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This book constitutes the refereed proceedings of the 14th Annual and 5th European Conferences on Computational Learning Theory, COLT/EuroCOLT 2001, held in Amsterdam, The Netherlands, in July 2001. The 40 revised full papers presented together with one invited paper were carefully reviewed and selected from a total of 69 submissions. All current aspects of computational learning and its applications in a variety of fields are addressed.

Author: Jin-Yi Cai
Publisher: Springer
ISBN: 354034022X
Category : Computers
Languages : en
Pages : 809

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This book constitutes the refereed proceedings of the Third International Conference on Theory and Applications of Models of Computation, TAMC 2006, held in Beijing, China, in May 2006. The 75 revised full papers presented together with 7 plenary talks were carefully reviewed and selected from 319 submissions. All major areas in computer science, mathematics (especially logic) and the physical sciences particularly with regard to computation and computability theory are addressed.

Author: Russell Greiner
Publisher: MIT Press
ISBN: 9780262571180
Category : Computational learning theory
Languages : en
Pages : 440

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Book Description
This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and Ǹatural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. The workshops drew researchers from three historically distinct styles of learning research: computational learning theory, neural networks, and machine learning (a subfield of AI). Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems. Contributors : Klaus Abraham-Fuchs, Yasuhiro Akiba, Hussein Almuallim, Arunava Banerjee, Sanjay Bhansali, Alvis Brazma, Gustavo Deco, David Garvin, Zoubin Ghahramani, Mostefa Golea, Russell Greiner, Mehdi T. Harandi, John G. Harris, Haym Hirsh, Michael I. Jordan, Shigeo Kaneda, Marjorie Klenin, Pat Langley, Yong Liu, Patrick M. Murphy, Ralph Neuneier, E.M. Oblow, Dragan Obradovic, Michael J. Pazzani, Barak A. Pearlmutter, Nageswara S.V. Rao, Peter Rayner, Stephanie Sage, Martin F. Schlang, Bernd Schurmann, Dale Schuurmans, Leon Shklar, V. Sundareswaran, Geoffrey Towell, Johann Uebler, Lucia M. Vaina, Takefumi Yamazaki, Anthony M. Zador.

Author: Krzysztof Czarnecki
Publisher: Springer
ISBN: 3642360890
Category : Computers
Languages : en
Pages : 424

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This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Software Language Engineering, SLE 2012, held in Dresden, Germany, in September 2012. The 17 papers presented together with 2 tool demonstration papers were carefully reviewed and selected from 62 submissions. SLE’s foremost mission is to encourage and organize communication between communities that have traditionally looked at software languages from different, more specialized, and yet complementary perspectives. SLE emphasizes the fundamental notion of languages as opposed to any realization in specific technical spaces.

Author: David. H Wolpert
Publisher: CRC Press
ISBN: 0429961073
Category : Mathematics
Languages : en
Pages : 460

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Book Description
This book provides different mathematical frameworks for addressing supervised learning. It is based on a workshop held under the auspices of the Center for Nonlinear Studies at Los Alamos and the Santa Fe Institute in the summer of 1992.