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2 edition of Proceedings of the seventh annual ACM Conference on Computational Learning Theory found in the catalog.

Proceedings of the seventh annual ACM Conference on Computational Learning Theory

ACM Conference on Computational Learning Theory (7th 1994 New Brunswick, N.J.)

Proceedings of the seventh annual ACM Conference on Computational Learning Theory

COLT 94 : July 12th-15th, 1994 : New Brunswick, New Jersey

by ACM Conference on Computational Learning Theory (7th 1994 New Brunswick, N.J.)

  • 22 Want to read
  • 7 Currently reading

Published by Association for Computer Machinery in New York, N.Y .
Written in English

    Subjects:
  • Machine learning -- Congresses.

  • Edition Notes

    Other titlesProceedings of the 7th annual ACM Conference on Computational Learning Theory., COLT 94., COLT "94.
    Statementsponsored by ACM SIGACT and ACM SIGART.
    ContributionsACM Special Interest Group for Automata and Computability Theory., SIGART.
    Classifications
    LC ClassificationsQ325.5 .A26 1994
    The Physical Object
    Paginationvii, 368 p. :
    Number of Pages368
    ID Numbers
    Open LibraryOL857313M
    ISBN 100897916557
    LC Control Number95139264
    OCLC/WorldCa31918367

    E. Kushilevitz, D. Roth, On learning visual concepts and DNF formulae, in: Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, Santa Cited by: Edited Volumes [P92] Peter L. Bartlett, Anthony Burkitt, and Robert C. Williamson (Editors), Proceedings of the Seventh Australian Conference on Neural Networks, Department of Engineering, ANU, April ISBN 0 2, pages. [P] David Helmbold and Bob Williamson (Editors), Computational Learning Theory: 14th Annual Conference on Computational learning theory, .

    "This is the first book I know of that teachs the theory and practice of algorithm and data structures in a clear and comprehensive Program Committee Co-Chair for the Thirteenth Annual Conference on Computational Learning Theory, July In Proceedings of the 14th Annual ACM International Conference on Multimedia (ACM Multimedia. ” Proceedings, 9th Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary and Text Research, Oxford, September , DiMarco, Chrysanne and Hirst, Graeme. “ A computational theory of goal-directed style in syntax.” .

    In the Proceedings of the 8th ACM Conference on Creativity and Cognition, Atlanta, GA.. Magerko, B., Dohogne, P., and DeLeon, C. (). Employing Fuzzy Concepts for Digital Improvisational Theatre. In the Proceedings of the Seventh Annual AI and Interactive Digital Entertainment Conference, Palo . Proceedings of the Seventh Annual Conference on Computational Learning Theory. pp. Benedek. G. and Itai, A. Dominating Distributions and Learnability. In: Annual Workshop on Computational Learning Theory.


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Proceedings of the seventh annual ACM Conference on Computational Learning Theory by ACM Conference on Computational Learning Theory (7th 1994 New Brunswick, N.J.) Download PDF EPUB FB2

7COLT 7th Annual Conference on Computational Learning Theory New Brunswick New Jersey USA July, ACM Conference on Computational Learning Theory (7th: New Brunswick, N.J.). Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory. New York, N.Y.: Association for Computer Machinery, © (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource.

ACM Conference on Computational Learning Theory (7th: New Brunswick, N.J.). Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory. New York, N.Y.: Association for Computer Machinery, © (DLC) (OCoLC) Material Type: Conference publication, Document, Internet resource: Document Type.

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Learning at Scale investigates large-scale, technology-mediated learning environments. This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers.

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The ACM TechTalk series brings leading computing luminaries and visionaries to your screen. Lee, P. Bartlett, R. Williamson, Lower bounds on the VC-dimension of smoothly parametrized function classes, Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory,ACM Press, New York,   Thomas H.

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& Singer, Y. (), “On the equivalence of weak learnability and linear separability: New relaxations and eficient boosting algorithms,” in Proceedings of the nineteenth annual conference on computational learning by:   S.A. Goldman and H.D. Mathias.

Learning k-term DNF formulas with an incomplete membership oracle. In Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, 77– Google ScholarCited by: 7. Total Publications in Conference Proceedings: Some of them are listed below.geometric, and combinatorial problems in computational music theory," Proceedings of X Encuentros de Geometria Computacional, University of Sevilla Seventh Annual ACM Symposium on.

In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages ACM Press, [ bib ] P. Bartlett, P. Long, and R. Williamson. Fat-shattering and the learnability of real-valued functions. In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages ACM.

Source: Proceedings of the Annual ACM Conference on Computational Learning Theory,p. Year: Fast, robust, and consistent camera motion estimation Author(s): Zhang, Tong. In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages ACM Press, [ bib] [9] P.

Bartlett, P. Long, and R. Williamson. Fat-shattering and the learnability of real-valued functions. In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages ACM.

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Shelton, C. Balancing Multiple Sources of Reward in Reinforcement Learning. In: Advances in Neural Information Processing Systems (NIPS),Torralba, A. and P. Sinha.Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Seventh Conference (UAI ).

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