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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 7 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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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    14 years 7 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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    NIPS
    2004
    97views Information Technology» more  NIPS 2004»
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    13 years 8 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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    CORR
    2010
    Springer
    179views Education» more  CORR 2010»
    Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
    13 years 4 months ago
    Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
    Download  airccse.org
    Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
    Ming-Chang Lee, To Chang
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    ICML
    2003
    IEEE
    156views Machine Learning» more  ICML 2003»
    Incorporating Diversity in Active Learning with Support Vector Machines
    14 years 8 months ago
    Incorporating Diversity in Active Learning with Support Vector Machines
    Download  www.hpl.hp.com
    In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
    Klaus Brinker
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