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» Learning Weighted Automata
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71
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CORR
2010
Springer
89views Education» more  CORR 2010»
15 years 17 days ago
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
We show that matrix completion with tracenorm regularization can be significantly hurt when entries of the matrix are sampled nonuniformly. We introduce a weighted version of the ...
Ruslan Salakhutdinov, Nathan Srebro
106
Voted
ICPR
2008
IEEE
16 years 1 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
120
Voted
ICML
2009
IEEE
16 years 1 months ago
Herding dynamical weights to learn
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
Max Welling
69
Voted
CG
2002
Springer
15 years 9 days ago
Learning a Game Strategy Using Pattern-Weights and Self-play
Abstract. This paper demonstrates the use of pattern-weights in order to develop a strategy for an automated player of a non-cooperative version of the game of Diplomacy. Diplomacy...
Ari Shapiro, Gil Fuchs, Robert Levinson
114
Voted
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 5 months ago
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Bianca Zadrozny, John Langford, Naoki Abe