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Wednesday, August 5, 2020 | History

3 edition of Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory found in the catalog.

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory

July 26th-28th, 1993, Santa Cruz, Calif.

by ACM Conference on Computational Learning Theory (6th 1993 Santa Cruz, Calif.)

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  • 5 Currently reading

Published by Association for Computing Machinery in [New York .
Written in English

    Subjects:
  • Machine learning -- Congresses.

  • Edition Notes

    Other titlesProceedings of the 6th Annual ACM Conference on Computational Learning Theory., COLT "93.
    Statementsponsored by ACM SIGACT and ACM SIGART.
    ContributionsACM Special Interest Group for Automata and Computability Theory., SIGART.
    Classifications
    LC ClassificationsQ325.5 .A26 1993
    The Physical Object
    Paginationvi, 463 p. :
    Number of Pages463
    ID Numbers
    Open LibraryOL857312M
    ISBN 100897916115
    LC Control Number95139263
    OCLC/WorldCa29812404

      A Linguistically-Based Semantic Bias for Theory Revision Proceedings of the 12th International Conference of Machine Learning. Hume, T., & Pazzani, M. (). Learning Sets of Related Concepts: A Shared Task ~pazzani/Publications/   Proceedings of the 18th ACM SIGKDD conference on knowledge discovery and data mining (SIGKDD), pages , Ziyu Guan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlations on Graphs. Proceedings of the 38th

      Madhu Sudan: Papers - Bibliographic Information. Online algorithms for locating checkpoints. Authors: Marshall Bern, Daniel H. Greene, Arvind Raghunathan, and Madhu Sudan. Proceedings of the Twenty Second Annual ACM Symposium on Theory of Computing, pages , Baltimore, Maryland, May (). Algorithmica, 11(1): , January note = "Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory ; Conference date: Through ", Kearns, MJ, Schapire, RE & Sellie, LM , Toward efficient agnostic learning. in Proceedings of the Fifth Annual ACM Workshop on Computational Learning ://

      Proceedings of the 38th annual international ACM SIGIR conference on Research and development in information retrieval, Santiago, Chile. (SIGIR ) [pdf] [slides] Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi ~lanyanyan. Publications, by bibtex,Computational Linguistics, Department of Computer Science, Oxford


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Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory by ACM Conference on Computational Learning Theory (6th 1993 Santa Cruz, Calif.) Download PDF EPUB FB2

Freivalds R, Kinber E and Smith C On the impact of forgetting on learning machines Proceedings of the sixth annual conference on Computational learning theory, () Angluin D Computational learning theory Proceedings of the twenty-fourth annual ACM symposium on Theory of Computing, () Fixedparameter intractability II.

Proceedings Tenth Symposium on Theoretical Aspects of Computing () Google Scholar Digital Library; 2. Angluin and M. Kharitonov. When won't membership queries help. In Proceedings of the 23rd Annual ACM Syposzum on Theory of Computing (), New York, May ACM Press.

Google Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory: July 26thth,Santa Cruz, Calif. Author: ACM Special Interest Group for Automata and Computability :// 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 Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, July 26thth,Santa Cruz, California sponsored by ACM SIGACT and ACM SIGART The Association for Computing Machinery,   Proceedings of the Twelfth Annual ACM-SIAM Symposium on Discrete Algorithms (), S.

Rao Kosaraju, editor Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing (), Charles Koelbel and Juan Meza, editors Computational Information Retrieval (), Michael Berry, editor The ACM Symposium on Theory of Computing (STOC) includes topics of interest such as: algorithms and data structures, computational complexity, cryptography, privacy, computational geometry, algorithmic graph theory and combinatorics, optimization, randomness in computing, approximation algorithms, parallel and distributed computation, machine learning, applications of logic, algorithmic Carlo Strapparava and Rada Mihalcea, Learning to Identify Emotions in Text, in Proceedings of the ACM Conference on Applied Computing ACM-SACFortaleza, Brazile, March [ pdf ] Rada Mihalcea, Review of "The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data" by Ronen Feldman and James Sanger, Computational ~mihalcea/ ACM Digital Library Home page.

The ACM Special Interest Group on Algorithms and Computation Theory is an international organization that fosters and promotes the discovery and dissemination of high quality research in theoretical computer science (TCS), the formal analysis of efficient computation and computational ://   ACM Conference on Computer and Communications Security A+ CHI International Conference on Human Factors in Computing Systems A+ COLT Annual Conference on Computational Learning Theory A+ CRYPTO Advances in Cryptology A+ CSCL A+ DCC Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory (COLT ), July, New Brunswick, NJ, USA.

ACM, Contents 6. COLT Santa Cruz, CA, USA Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory (COLT ), July, Santa Cruz, CA, USA. ACM Contents   R. Freivalds, E. Kinber, and C. Smith. On the impact of forgetting on learning machines. In L. Pitt, editor, Proceedings of the Sixth Annual Workshop on Computational Learning Theory, pages – ACM Press, Google Scholar For a (paginated proceedings) article in a conference proceedings (conference, symposium or workshop): [1] Sten Andler.

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Fast Algorithms for Structured Matrices: Theory and Applications (), Vadim Olshevsky, Editor. Proceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms (), Ian Munro, :// An algorithmic characterization of multi-dimensional mechanisms Proceedings of the forty-fourth annual ACM symposium on Theory of computing.

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Quan Wang, Zheng Cao, Jun Xu, and Hang Li. Group Matrix Factorization for Scalable Topic ~junxu. Downey, P. Evans, and M. Fellows. Parameterized learning Complexity. Proceedings of the Sixth Annual Conference on Computational Learning Theory, (COLT’93)IEEE, () 51 – On the complexity of function learning,Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, pp.

– Google Scholar. Angluin, D. Queries and concept learning,Machine Learning, 2(4)– Google Scholar. Barland, I. Some ideas on learning with directional :// In Proceedings of the Twenty-Sixth International Conference on Machine Learning, A majorization-minimization algorithm for (multiple) hyperparameter learning, Chuan Sheng Foo, Chuong Do and Andrew Y.

In Proceedings of the Twenty-Sixth International Conference on Machine Learning, ~ang/. Searching Results. International Conference on NLP & Artificial Intelligence Techniques (NLAI ) Deadline: Event Date: - Venue: Sydney, Australia, Australia International Conference on Advances in Software Engineering (ASOFT ) Deadline: Event Date: - Venue: Sydney, Australia,   Proceedings of the Twentieth Annual ACM SIGIR Conference on Research and Development in Information Retrieval.

Julypp. Abstract ~ Postscript. Basic Data Structures. A Practical Perfect Hashing Algorithm by C. Silverstein. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Volpp. ~csilvers.Cong Li is a senior staff engineer in Intel Asia-Pacific R&D Ltd.

leading the development of various datacenter management solutions with his current interests in machine learning and data-driven approaches to system modeling, management, and optimization