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    JGAA
    2007
    135views more  JGAA 2007»
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    13 years 7 months ago
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    Download  www.emis.de
    Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
    Donatello Conte, Pasquale Foggia, Mario Vento
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    ISNN
    2009
    Springer
    211views Neural Networks» more  ISNN 2009»
    Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
    14 years 2 months ago
    Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
    Download  www.iipl.fudan.edu.cn
    Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
    Weiya Shi, Yue-Fei Guo
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    ML
    2002
    ACM
    128views Machine Learning» more  ML 2002»
    A Simple Method for Generating Additive Clustering Models with Limited Complexity
    13 years 7 months ago
    A Simple Method for Generating Additive Clustering Models with Limited Complexity
    Download  www.socsci.uci.edu
    Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
    Michael D. Lee
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    TNN
    2010
    143views Management» more  TNN 2010»
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    13 years 2 months ago
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    Download  www.smartlab.dibe.unige.it
    Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
    Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
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    WSC
    2004
    125views Modeling And Simulation» more  WSC 2004»
    Using Simulated Data in Support of Research on Regression Analysis
    13 years 9 months ago
    Using Simulated Data in Support of Research on Regression Analysis
    Download  www.informs-sim.org
    Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
    Christopher Michael Hill, Linda C. Malone
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