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Articles: 2'501'711
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20 April 2024
 
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Results 1 to 20 of 901 for query "Learning cs". (0.02 sec.)

[    1    2    3    4    5    10    ]   Next
1.
Corpus-based Learning of Analogies and Semantic Relations
Peter D. Turney; Michael L. Littman;
23 Aug 2005   /  Machine Learning, (2005), 60(1-3), 251-278
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2.
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Jon Feldman; Ryan O'Donnell; Rocco A. Servedio;
16 Sep 2006   /  Proceedings of 19th Annual Conference on Learning Theory (COLT), Pittsburgh, PA, pp. 20--34, 2006
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3.
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents
Vincent Conitzer; Tuomas Sandholm;
2 Jul 2003   /  In Proceedings of the 20th International Conference on Machine Learning (ICML-03), Washington, DC, USA, 2003
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4.
Types of Cost in Inductive Concept Learning
Peter D. Turney;
11 Dec 2002   /  Workshop on Cost-Sensitive Learning at the Seventeenth International Conference on Machine Learning, (2000), Stanford University, California, 15-21
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5.
Forgetting Exceptions is Harmful in Language Learning
Walter Daelemans; Antal van den Bosch; Jakub Zavrel;
22 Dec 1998
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6.
A Neural-Network Technique to Learn Concepts from Electroencephalograms
Vitaly Schetinin; Joachim Schult;
14 Apr 2005
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7.
Learning for Adaptive Real-time Search
Vadim Bulitko;
7 Jul 2004
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8.
The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
Peter D. Turney;
12 Dec 2002   /  13th International Conference on Machine Learning, Workshop on Learning in Context-Sensitive Domains, Bari, Italy, (1996), 53-59
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9.
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
Ion Androutsopoulos; Georgios Paliouras; Vangelis Karkaletsis; Georgios Sakkis; Constantine D. Spyropoulos; Panagiotis Stamatopoulos;
18 Sep 2000   /  Proceedings of the workshop "Machine Learning and Textual Information Access", 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000), H. Zaragoza, P. Gallinari and M. Rajman (Eds.), Lyon, France, S
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10.
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
Ion Androutsopoulos; Georgios Paliouras; Vangelis Karkaletsis; Georgios Sakkis; Constantine D. Spyropoulos; Panagiotis Stamatopoulos;
18 Sep 2000   /  Proceedings of the workshop "Machine Learning and Textual Information Access", 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000), H. Zaragoza, P. Gallinari and M. Rajman (Eds.), Lyon, France, S
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11.
Learning Optimal Augmented Bayes Networks
Vikas Hamine; Paul Helman;
19 Sep 2005
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12.
Hypermedia Learning Objects System - On the Way to a Semantic Educational Web
Michael Engelhardt; Andreas Kárpáti; Torsten Rack; Ivette Schmidt; Thomas C. Schmidt;
1 Aug 2004   /  Proceedings of the International Workshop {"}Interactive Computer aided Learning{"} ICL 2003. Learning Objects and Reusability of Content, Kassel University Press 2003, ISBN 3-89958-029-X
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13.
Multidimensional Transformation-Based Learning
Radu Florian; Grace Ngai;
17 Jul 2001   /  Proceedings of the 5th Computational Natural Language Learning Workshop (CoNNL-2001), pages 1-8, Toulouse, France
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14.
Bootstrapping Syntax and Recursion using Alignment-Based Learning
Menno van Zaanen;
3 Apr 2001   /  Proceedings of the Seventeenth International Conference on Machine Learning. pages 1063-1070
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15.
Unsupervised Learning of Morphology without Morphemes
Sylvain Neuvel; Sean A. Fulop;
29 May 2002
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16.
KnightCap: A chess program that learns by combining TD(lambda) with game-tree search
Jonathan Baxter; Andrew Tridgell; Lex Weaver;
10 Dec 1998   /  MACHINE LEARNING Proceedings of the Fifteenth International Conference (ICML '98), ISBN 1-55860-556-8, ISSN 1049-1910, Madison WISCONSIN, July 24-27 1998, pages 28-36
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17.
Online Learning of Aggregate Knowledge about Non-linear Preferences Applied to Negotiating Prices and Bundles
Koye Somefun; Tomas Klos; Han La Poutré ( Center for Mathematics; Computer Science;
23 Dec 2004
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18.
Learning from Web: Review of Approaches
Vitaly Schetinin;
13 Apr 2005
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19.
Learning Multi-Class Neural-Network Models from Electroencephalograms
Vitaly Schetinin; Joachim Schult; Burkhart Scheidt; Valery Kuriakin;
13 Apr 2005
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20.
Efficient algorithms for decision tree cross-validation
Hendrik Blockeel; Jan Struyf;
17 Oct 2001   /  H. Blockeel and J. Struyf. Efficient algorithms for decision tree cross-validation. Proceedings of the Eighteenth International Conference on Machine Learning (C. Brodley and A. Danyluk, eds.), Morgan Kaufmann, 2001, pp. 11-18
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