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    BMCBI
    2008
    153views more  BMCBI 2008»
    GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
    13 years 10 months ago
    GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
    Download  www.biomedcentral.com
    Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...
    Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesu...
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    JCP
    2008
    166views more  JCP 2008»
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    13 years 10 months ago
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    Download  www.academypublisher.com
    Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
    Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
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    ESWA
    2007
    146views more  ESWA 2007»
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    13 years 10 months ago
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    Download  mcdm.ntcu.edu.tw
    Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
    Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
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    TSP
    2008
    180views more  TSP 2008»
    Support Vector Machine Training for Improved Hidden Markov Modeling
    13 years 10 months ago
    Support Vector Machine Training for Improved Hidden Markov Modeling
    Download  muscle.ercim.eu
    We present a discriminative training algorithm, that uses support vector machines (SVMs), to improve the classification of discrete and continuous output probability hidden Markov ...
    Alba Sloin, David Burshtein
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    ML
    2002
    ACM
    220views Machine Learning» more  ML 2002»
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    13 years 10 months ago
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    Download  www.mth.kcl.ac.uk
    I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
    Peter Sollich
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