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    » Predicting Time Series with Support Vector Machines
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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 8 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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    ESWA
    2007
    146views more  ESWA 2007»
    A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    13 years 8 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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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 8 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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    ESWA
    2007
    127views more  ESWA 2007»
    Clustering support vector machines for protein local structure prediction
    13 years 8 months ago
    Clustering support vector machines for protein local structure prediction
    Download  www.cs.gsu.edu
    Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
    Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
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    PRICAI
    2004
    Springer
    131views Artificial Intelligence» more  PRICAI 2004»
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    14 years 1 months ago
    Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
    Download  bi.snu.ac.kr
    Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
    Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
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