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    EJC
    2006
    66views Information Technology» more  EJC 2006»
    Toward the classification of Moufang loops of order 64
    13 years 7 months ago
    Toward the classification of Moufang loops of order 64
    Download  www.du.edu
    We show how to obtain all nonassociative Moufang loops of order less than 64 and 4262 nonassociative Moufang loops of order 64 in a unified way. We conjecture that there are no oth...
    Petr Vojtechovský
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    CCR
    2006
    114views more  CCR 2006»
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    13 years 7 months ago
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    Download  ccr.sigcomm.org
    The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
    Nigel Williams, Sebastian Zander, Grenville J. Arm...
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    JMLR
    2002
    106views more  JMLR 2002»
    Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
    13 years 7 months ago
    Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
    Download  jmlr.csail.mit.edu
    We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
    Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
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    PRL
    2006
    98views more  PRL 2006»
    Data complexity assessment in undersampled classification of high-dimensional biomedical data
    13 years 7 months ago
    Data complexity assessment in undersampled classification of high-dimensional biomedical data
    Download  sci2s.ugr.es
    Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
    Richard Baumgartner, Ray L. Somorjai
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    AICCSA
    2006
    IEEE
    77views Hardware» more  AICCSA 2006»
    Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier
    13 years 11 months ago
    Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier
    Download  www.ccse.kfupm.edu.sa
    This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
    Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
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