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113
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ICML
1995
IEEE
15 years 7 months ago
Learning Collection FUsion Strategies for Information Retrieval
In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
Geoffrey G. Towell, Ellen M. Voorhees, Narendra Ku...
129
Voted
ALT
2008
Springer
16 years 19 days ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
COLT
2001
Springer
15 years 8 months ago
Learning Monotone DNF from a Teacher That Almost Does Not Answer Membership Queries
We present results concerning the learning of Monotone DNF (MDNF) from Incomplete Membership Queries and Equivalence Queries. Our main result is a new algorithm that allows effici...
Nader H. Bshouty, Nadav Eiron
177
Voted
JMLR
2012
13 years 6 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
138
Voted
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 10 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...