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162
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We investigate under what conditions clustering by learning a mixture of spherical Gaussians is (a) computationally tractable; and (b) statistically possible. We show that using p...
176
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
167
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
169
Voted
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
181
Voted
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...