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Start Over Author "Schwaighofer, Anton" Publication Type Books
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5. Preface.

Author

Quiñonero-Candela, Joaquin, Masashi Sugiyama, Schwaighofer, Anton, and Lawrence, Neil D.

Published
2008

6. References.

Author

Quiñonero-Candela, Joaquin, Masashi Sugiyama, Schwaighofer, Anton, and Lawrence, Neil D.

Published
2008

7. Structure Learning with Nonparametric Decomposable Models.

Author

Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, de Sá, Joaquim Marques, Alexandre, Luís A., Duch, Włodzisław, Mandic, Danilo, and Schwaighofer, Anton

Abstract

We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete and continuous distributions can be handled in a unified framework. Also, consistency of the underlying probabilistic model is guaranteed. Model selection is based on predictive assessment, with efficient algorithms that allow fast greedy forward and backward selection within the class of decomposable models. We show the validity of this structure learning approach on toy data, and on two large sets of gene expression data. [ABSTRACT FROM AUTHOR]

Published
2007
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8. Notation and Symbols.

Author

Quiñonero-Candela, Joaquin, Masashi Sugiyama, Schwaighofer, Anton, and Lawrence, Neil D.

Published
2008

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