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    WCE
    2007
    180views Electrical And Computer Engi...» more  WCE 2007»
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    13 years 10 months ago
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    Download  www.iaeng.org
    – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
    Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
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    ICONIP
    2008
    146views Information Technology» more  ICONIP 2008»
    An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
    13 years 10 months ago
    An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
    Download  www.iplove.net
    In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
    Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 8 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    ACCV
    2009
    Springer
    217views Computer Vision» more  ACCV 2009»
    Efficient Classification of Images with Taxonomies
    14 years 26 days ago
    Efficient Classification of Images with Taxonomies
    Download  user.cs.tu-berlin.de
    We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
    Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
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    IJON
    2010
    148views more  IJON 2010»
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
    13 years 6 months ago
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
    Download  homes.dsi.unimi.it
    Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
    Matteo Re, Giorgio Valentini
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