8. COLT 1995:
Santa Cruz, California, USA Wolfgang Maass (Ed.):
Proceedings of the Eigth Annual Conference on Computational Learning Theory, COLT 1995, Santa Cruz, California, USA, July 5-8, 1995.
ACM 1995, ISBN 0-89791-723-5 Invited Talks
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Session 1
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Session 2
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V. G. Vovk :
A Game of Prediction with Expert Advice.
51-60
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Nader H. Bshouty :
A Note on Learning Multivariate Polynomials Under the Uniform Distribution (Extended Abstract).
79-82
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Kenji Yamanishi :
Randomized Approximate Aggregating Strategies and Their Applications to Prediction and Discrimination.
83-90
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Session 3
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Tibor Hegedüs :
Generalized Teaching Dimensions and the Query Complexity of Learning.
108-117
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Yiqun Lisa Yin :
Reducing the Number of Queries in Self-Directed Learning.
128-135
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Session 4
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Efim B. Kinber ,
Frank Stephan :
Language Learning from Texts: Mind Changes, Limited Memory and Monotonicity (Extended Abstract).
182-189
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H. David Mathias :
DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching.
222-229
Session 5
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Jyrki Kivinen ,
Manfred K. Warmuth :
The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant.
289-296
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Session 6
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Paul Fischer :
More or Less Efficient Agnostic Learning of Convex Polygons.
337-344
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Session 7
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David Haussler ,
Manfred Opper :
General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations.
402-411
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Dan Boneh :
Learning Using Group Representations (Extended Abstract).
418-426
Session 8
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Corrigendum
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