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134
Voted
NIPS
1998
15 years 4 months ago
1998
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
102
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
134
Voted
COLING
2002
15 years 2 months ago
2002
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
123
Voted
SEMWEB
2010
Springer
15 years 14 days ago
2010
Springer
Abstract. While the number and size of Semantic Web knowledge bases increases, their maintenance and quality assurance are still difficult. In this article, we present ORE, a tool ...
133
Voted
CORR
2012
Springer
13 years 10 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...