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    » On the Use of Neural Network Ensembles in QSAR and QSPR
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    NCA
    2006
    IEEE
    121views Computer Networks» more  NCA 2006»
    Analysing the localisation sites of proteins through neural networks ensembles
    13 years 7 months ago
    Analysing the localisation sites of proteins through neural networks ensembles
    Download  www.dcs.bbk.ac.uk
    Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
    Aristoklis D. Anastasiadis, George D. Magoulas
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    ESANN
    2006
    110views Neural Networks» more  ESANN 2006»
    Designing neural network committees by combining boosting ensembles
    13 years 8 months ago
    Designing neural network committees by combining boosting ensembles
    Download  www.dice.ucl.ac.be
    The use of modified Real Adaboost ensembles by applying weighted emphasis on erroneous and critical (near the classification boundary) has been shown to lead to improved designs, ...
    Vanessa Gómez-Verdejo, Aníbal R. Fig...
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    NCA
    2007
    IEEE
    112views Computer Networks» more  NCA 2007»
    Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
    13 years 6 months ago
    Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
    Download  www.softcomputing.net
    Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
    Ajith Abraham, Crina Grosan, Stefan Tigan
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 6 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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    TSMC
    2008
    164views more  TSMC 2008»
    Bagging and Boosting Negatively Correlated Neural Networks
    13 years 6 months ago
    Bagging and Boosting Negatively Correlated Neural Networks
    Download  www.cs.sunysb.edu
    In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
    Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
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