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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    15 years 10 months ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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    ICMLA
    2004
    129views Machine Learning» more  ICMLA 2004»
    Income prediction via support vector machine
    14 years 11 months ago
    Income prediction via support vector machine
    Download  www.cis.ysu.edu
    Alina Lazar
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    ADMA
    2005
    Springer
    149views Data Mining» more  ADMA 2005»
    A New Support Vector Machine for Data Mining
    15 years 3 months ago
    A New Support Vector Machine for Data Mining
    Download  gking.harvard.edu
    Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
    Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiu...
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    IWANN
    2001
    Springer
    124views Neural Networks» more  IWANN 2001»
    Non-symmetric Support Vector Machines
    15 years 2 months ago
    Non-symmetric Support Vector Machines
    Download  www.dcs.warwick.ac.uk
    A novel approach to calculate the generalization error of the support vector machines and a new support vector machine–nonsymmatic support vector machine–is proposed here. Our ...
    Jianfeng Feng
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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
    14 years 11 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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