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    GRC
    2007
    IEEE
    94views Applied Computing» more  GRC 2007»
    Precision and Recall in Rough Support Vector Machines
    13 years 9 months ago
    Precision and Recall in Rough Support Vector Machines
    Download  www2.cs.uregina.ca
    Abstract— Rough support vector machines (RSVMs) supplement conventional support vector machines (SVMs) by providing a better representation of the boundary region. Increasing int...
    Pawan Lingras, Cory J. Butz
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    ISCAS
    2005
    IEEE
    142views Hardware» more  ISCAS 2005»
    Hardware-based support vector machine classification in logarithmic number systems
    14 years 1 months ago
    Hardware-based support vector machine classification in logarithmic number systems
    Download  dimacs.rutgers.edu
    —Support Vector Machines are emerging as a powerful machine-learning tool. Logarithmic Number Systems (LNS) utilize the property of logarithmic compression for numerical operatio...
    Faisal M. Khan, Mark G. Arnold, William M. Potteng...
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    PAKDD
    2005
    ACM
    111views Data Mining» more  PAKDD 2005»
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    14 years 1 months ago
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    Download  ttic.uchicago.edu
    Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
    Liefeng Bo, Ling Wang, Licheng Jiao
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    IWBRS
    2005
    Springer
    145views Biometrics» more  IWBRS 2005»
    Face Authentication Using One-Class Support Vector Machines
    14 years 1 months ago
    Face Authentication Using One-Class Support Vector Machines
    Download  profs.sci.univr.it
    Abstract. This paper proposes a new method for personal identity verification based the analysis of face images applying One Class Support Vector Machines. This is a recently intr...
    Manuele Bicego, Enrico Grosso, Massimo Tistarelli
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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    13 years 9 months ago
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    Download  www.cs.ucdavis.edu
    — Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
    Wenjie Hu, Yihua Liao, V. Rao Vemuri
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