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» Using Machine Learning to Support Debugging with Tarantula
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114
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BIOINFORMATICS
2006
105views more  BIOINFORMATICS 2006»
15 years 2 months ago
Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
EKAW
2008
Springer
15 years 4 months ago
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Christian Meilicke, Johanna Völker, Heiner St...
108
Voted
PR
2007
104views more  PR 2007»
15 years 1 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
114
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ICML
2006
IEEE
16 years 3 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
118
Voted
ICONIP
1998
15 years 3 months ago
Automated Text Categorization Using Support Vector Machine
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
James Tin-Yau Kwok