979 search results - page 105 / 196 » Learning with Progressive Transductive Support Vector Machin... |
118
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ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
124
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
143
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KES
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
138
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IJPRAI
2010
15 years 1 months ago
2010
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
111
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This approach has opened new perspectives since it makes ...