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    ESWA
    2007
    176views more  ESWA 2007»
    Credit scoring with a data mining approach based on support vector machines
    14 years 9 months ago
    Credit scoring with a data mining approach based on support vector machines
    Download  nlg.csie.ntu.edu.tw
    The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
    Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
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    ICDM
    2009
    IEEE
    160views Data Mining» more  ICDM 2009»
    Fast Online Training of Ramp Loss Support Vector Machines
    15 years 4 months ago
    Fast Online Training of Ramp Loss Support Vector Machines
    Download  www.ist.temple.edu
    —A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
    Zhuang Wang, Slobodan Vucetic
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    ICARCV
    2002
    IEEE
    109views Robotics» more  ICARCV 2002»
    Quantized wavelet features and support vector machines for on-road vehicle detection
    15 years 2 months ago
    Quantized wavelet features and support vector machines for on-road vehicle detection
    Download  www.cse.unr.edu
    The focus of this work is on the problem of feature selection and classification for on-road vehicle detection. In particular, we propose using quantized Haar wavelet features an...
    Zehang Sun, George Bebis, Ronald Miller
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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    14 years 10 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    14 years 10 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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