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» Evolving kernels for support vector machine classification
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162
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ICML
2004
IEEE
16 years 6 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICIP
2009
IEEE
15 years 3 months ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu
120
Voted
MLDM
2009
Springer
16 years 3 days ago
Tree Kernel and Feature Vector Methods for Formal Semantic Requests Classification
François Bouchet, Jean-Paul Sansonnet
CORR
2008
Springer
108views Education» more  CORR 2008»
15 years 5 months ago
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
François-Xavier Dupé, Luc Brun
RECOMB
2005
Springer
16 years 5 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...