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.)
Published
1994
by Association for Computer Machinery in New York, N.Y
.
Written in English
Edition Notes
| Other titles | Proceedings of the 7th annual ACM Conference on Computational Learning Theory., COLT 94., COLT "94. |
| Statement | sponsored by ACM SIGACT and ACM SIGART. |
| Contributions | ACM Special Interest Group for Automata and Computability Theory., SIGART. |
| Classifications | |
|---|---|
| LC Classifications | Q325.5 .A26 1994 |
| The Physical Object | |
| Pagination | vii, 368 p. : |
| Number of Pages | 368 |
| ID Numbers | |
| Open Library | OL857313M |
| ISBN 10 | 0897916557 |
| LC Control Number | 95139264 |
| OCLC/WorldCa | 31918367 |
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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.
It is our great pleasure to present the Proceedings of the Fifth Annual ACM Conference on Learning at Scale, [email protected]held on June at UCL Institute of Education, London, UK.
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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& 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.
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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 ).
Amin, K., Kearns, M., Syed, U. ()* Bandits, query learning, and the haystack dimension. Proceedings of the Twenty-Fourth Annual Conference on Learning Theory (COLT ).
