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  Kernel-based data fusion and its application to protein function predi... 
G. R. G. Lanckriet, M. Deng, N. Cristianini, M. I. Jordan, and W. S. Noble, Pacific Symposium on Biocomputing 2004
Added: Tuesday, March 10, 2009 by Yihua Chen - University of Washington
        Tags: Classification, MultipleKernelLearning, SVM
  An SMO Algorithm for the Potential Support Vector Machine 
T. Knebel, S. Hochreiter and K. Obermayer, Neural Computation 2008
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
        Tags: Learning, SVM, Classification
  Support Vector Machines for Dyadic Data 
S. Hochreiter and K. Obermayer, Neural Computation 2006
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
        Tags: Learning, SVM, Classification
  Support Vector Machine Classification with Indefinite Kernels 
R. Luss and A. d'Aspremont, NIPS 2007
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
        Tags: Classification, SVM
  SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Cat... 
H. Zhang and A. C. Berg and M. Maire and J. Malik, CVPR 2006
Added: Monday, December 29, 2008 by Yihua Chen - University of Washington
        Tags: SVM, Classification, Vision

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