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NIPS
1998
15 years 6 months ago
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy
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...
Yoram Singer, Manfred K. Warmuth
CORR
2010
Springer
70views Education» more  CORR 2010»
15 years 4 months ago
Structured sparsity-inducing norms through submodular functions
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 ...
Francis Bach
COLING
2002
15 years 4 months ago
Fine Grained Classification of Named Entities
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 ...
Michael Fleischman, Eduard H. Hovy
SEMWEB
2010
Springer
15 years 2 months ago
ORE - A Tool for Repairing and Enriching Knowledge Bases
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 ...
Jens Lehmann, Lorenz Bühmann
154
Voted
CORR
2012
Springer
220views Education» more  CORR 2012»
14 years 13 days ago
Sparse Topical Coding
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...
Jun Zhu, Eric P. Xing