216 search results - page 36 / 44 » Learning in Gaussian Markov random fields |
ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
100
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RECOMB
2005
Springer
16 years 6 hour ago
2005
Springer
Abstract. Protein-protein interactions play a major role in most cellular processes. Thus, the challenge of identifying the full repertoire of interacting proteins in the cell is o...
106
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ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
110
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...