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    KBS
    2006
    231views more  KBS 2006»
    Predicting football results using Bayesian nets and other machine learning techniques
    13 years 5 months ago
    Predicting football results using Bayesian nets and other machine learning techniques
    Download  www.eecs.qmul.ac.uk
    Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
    A. Joseph, Norman E. Fenton, Martin Neil
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    ICSNC
    2007
    IEEE
    194views Communications» more  ICSNC 2007»
    Movement Prediction Using Bayesian Learning for Neural Networks
    13 years 11 months ago
    Movement Prediction Using Bayesian Learning for Neural Networks
    Download  reality.media.mit.edu
    Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
    Sherif Akoush, Ahmed Sameh
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    ICTAI
    2008
    IEEE
    97views Artificial Intelligence» more  ICTAI 2008»
    Using Imputation Techniques to Help Learn Accurate Classifiers
    13 years 11 months ago
    Using Imputation Techniques to Help Learn Accurate Classifiers
    Download  webdocs.cs.ualberta.ca
    It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
    Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
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    ICML
    1999
    IEEE
    210views Machine Learning» more  ICML 1999»
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    14 years 6 months ago
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    Download  www.csse.monash.edu.au
    Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
    Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
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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 5 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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