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    CGF
    2008
    149views more  CGF 2008»
    Image-based Aging Using Evolutionary Computing
    13 years 9 months ago
    Image-based Aging Using Evolutionary Computing
    Download  www.cs.swan.ac.uk
    Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
    Daniel Hubball, Min Chen, Phil W. Grant
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    SDM
    2003
    SIAM
    156views Data Mining» more  SDM 2003»
    Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
    13 years 11 months ago
    Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
    Download  www.ist.temple.edu
    A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
    Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...
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    ICML
    2007
    IEEE
    126views Machine Learning» more  ICML 2007»
    Hybrid huberized support vector machines for microarray classification
    14 years 10 months ago
    Hybrid huberized support vector machines for microarray classification
    Download  www.machinelearning.org
    The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
    Li Wang, Ji Zhu, Hui Zou
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    HIS
    2008
    157views Information Technology» more  HIS 2008»
    Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
    13 years 11 months ago
    Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis
    Download  www.liaad.up.pt
    The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
    André L. D. Rossi, André C. P. L. F....
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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    13 years 1 months ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    Download  www.biomedcentral.com
    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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