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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
    13 years 10 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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    BMCBI
    2005
    155views more  BMCBI 2005»
    Mining protein function from text using term-based support vector machines
    13 years 8 months ago
    Mining protein function from text using term-based support vector machines
    Download  www.biomedcentral.com
    Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
    Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    14 years 8 months ago
    A new intrusion detection system using support vector machines and hierarchical clustering
    Download  www.utdallas.edu
    Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
    Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 9 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    TR
    2010
    204views Hardware» more  TR 2010»
    Anomaly Detection Through a Bayesian Support Vector Machine
    13 years 3 months ago
    Anomaly Detection Through a Bayesian Support Vector Machine
    Download  www6.cityu.edu.hk
    This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
    Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
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