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» On Fitting Mixture Models

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ICML
2005
IEEE

143views Machine Learning» more ICML 2005»

Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning

14 years 9 months ago

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Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...

Xiaojin Zhu, John D. Lafferty

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PPSN
2010
Springer

139views Distributed And Parallel Com...» more PPSN 2010»

Using Co-solvability to Model and Exploit Synergetic Effects in Evolution

13 years 6 months ago

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Abstract. We introduce, analyze, and experimentally examine co-solvability, an ability of a solution to solve a pair of fitness cases (tests). Based on this concept, we devise a co...

Krzysztof Krawiec, Pawel Lichocki

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PAMI
2008

140views more PAMI 2008»

Simplifying Mixture Models Using the Unscented Transform

13 years 8 months ago

Download eprints.pascal-network.org

Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...

Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...

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NECO
2002

95views more NECO 2002»

Mixture of Experts Classification Using a Hierarchical Mixture Model

13 years 8 months ago

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Michalis K. Titsias, Aristidis Likas

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