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    ICDM
    2007
    IEEE
    129views Data Mining» more  ICDM 2007»
    Feature Selection for Nonlinear Kernel Support Vector Machines
    13 years 10 months ago
    Feature Selection for Nonlinear Kernel Support Vector Machines
    Download  ftp.cs.wisc.edu
    An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
    Olvi L. Mangasarian, Gang Kou
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    BMCBI
    2006
    158views more  BMCBI 2006»
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    13 years 9 months ago
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    Download  www.biomedcentral.com
    Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
    Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
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    RECOMB
    2002
    Springer
    195views Computational Biology» more  RECOMB 2002»
    Combining pairwise sequence similarity and support vector machines for remote protein homology detection
    14 years 9 months ago
    Combining pairwise sequence similarity and support vector machines for remote protein homology detection
    Download  noble.gs.washington.edu
    One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
    Li Liao, William Stafford Noble
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    ISNN
    2005
    Springer
    132views Neural Networks» more  ISNN 2005»
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    14 years 2 months ago
    Scaling the Kernel Function to Improve Performance of the Support Vector Machine
    Download  www.dcs.warwick.ac.uk
    Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
    Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
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    NIPS
    2004
    97views Information Technology» more  NIPS 2004»
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    13 years 10 months ago
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    Download  books.nips.cc
    An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
    Shantanu Chakrabartty, Gert Cauwenberghs
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