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» On Kernel Methods for Relational Learning
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ICML
2008
IEEE
14 years 10 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
BMCBI
2010
122views more  BMCBI 2010»
13 years 9 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
CIKM
2004
Springer
14 years 2 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
RECOMB
2005
Springer
14 years 9 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
EMMCVPR
2007
Springer
14 years 3 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang