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    IJNSEC
    2008
    210views more  IJNSEC 2008»
    A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
    14 years 9 months ago
    A Method for Locating Digital Evidences with Outlier Detection Using Support Vector Machine
    Download  ijns.femto.com.tw
    One of the biggest challenges facing digital investigators is the sheer volume of data that must be searched in locating the digital evidence. How to efficiently locate the eviden...
    Zaiqiang Liu, Dongdai Lin, Fengdeng Guo
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    TNN
    2008
    97views more  TNN 2008»
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    14 years 9 months ago
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    Download  www.cs.washington.edu
    Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    14 years 11 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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    IJCNN
    2000
    IEEE
    213views Neural Networks» more  IJCNN 2000»
    Pose Classification Using Support Vector Machines
    15 years 1 months ago
    Pose Classification Using Support Vector Machines
    Download  www.csai.unipa.it
    The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
    Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    14 years 9 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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