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» Evolving kernels for support vector machine classification
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SIGIR
2005
ACM
15 years 5 months ago
Text classification with kernels on the multinomial manifold
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
Dell Zhang, Xi Chen, Wee Sun Lee
IJCNN
2008
IEEE
15 years 6 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
CORR
2007
Springer
113views Education» more  CORR 2007»
14 years 11 months ago
Virtual screening with support vector machines and structure kernels
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Pierre Mahé, Jean-Philippe Vert
EUROCOLT
1999
Springer
15 years 4 months ago
Entropy Numbers, Operators and Support Vector Kernels
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 2 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu