Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain (1995)

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by Avrim Blum
Venue:Machine Learning
Citations:127 - 4 self

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AVRIMBLUM Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain – unknown authors
61 On-line algorithms in machine learning – Avrim Blum - 1998
423 Selection of relevant features and examples in machine learning – Avrim L. Blum, Pat Langley - 1997
On Consulting a Set of Experts and Searching – Igal Galperin - 1996
97 Mistake-Driven Learning in Text Categorization – Ido Dagan, Yael Karov, Dan Roth - 1997
247 Exponentiated Gradient Versus Gradient Descent for Linear Predictors – Jyrki Kivinen, Manfred K. Warmuth - 1995
62 Adaptive and Self-Confident On-Line Learning Algorithms – Peter Auer, Nicolò Cesa-Bianchi, Claudio Gentile - 2000
247 Context-Sensitive Learning Methods for Text Categorization – William W. Cohen, Yoram Singer - 1996
7 How Useful Is Relevance? – Rich Caruana, Dayne Freitag - 1994
9 Knowing What Doesn't Matter: Exploiting the Omission of Irrelevant Data – Russell Greiner, Adam J. Grove, Alexander Kogan - 1997
Toward Attribute Efficient Learning Algorithms – Adam R. Klivans, Divsion Of Engineering
Harvard University – Adam R. Klivans, Rocco A. Servedio
9 Toward Attribute Efficient Learning of Decision Lists and Parities – Adam R. Klivans, Rocco A. Servedio, Dana Ron - 2006
198 Tracking the best expert – Mark Herbster, Manfred, K. Warmuth, Gerhard Widmer, Miroslav Kubat - 1995
4 Transforming Linear-threshold Learning Algorithms into Multi-class Linear Learning Algorithms – Chris Mesterharm - 2001
5 Online Learning versus Offline Learning – Shai Ben-david, Eyal Kushilevitz, Yishay Mansour
74 Tracking the Best Disjunction – Peter Auer, Manfred K. Warmuth - 1995
55 The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant – Jyrki Kivinen, Manfred K. Warmuth
86 A Winnow-Based Approach to Context-Sensitive Spelling Correction – Andrew R. Golding, Dan Roth, J. Mooney, Claire Cardie - 1999