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    ICML
    2004
    IEEE
    118views Machine Learning» more  ICML 2004»
    Leveraging the margin more carefully
    14 years 8 months ago
    Leveraging the margin more carefully
    Download  reference.kfupm.edu.sa
    Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
    Nir Krause, Yoram Singer
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    KDD
    2010
    ACM
    247views Data Mining» more  KDD 2010»
    Active learning for biomedical citation screening
    13 years 9 months ago
    Active learning for biomedical citation screening
    Download  tuftscaes.org
    Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
    Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
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    BMCBI
    2008
    147views more  BMCBI 2008»
    Transmembrane helix prediction using amino acid property features and latent semantic analysis
    13 years 7 months ago
    Transmembrane helix prediction using amino acid property features and latent semantic analysis
    Download  eprints.iisc.ernet.in
    Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
    Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
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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 7 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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    BMCBI
    2007
    91views more  BMCBI 2007»
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
    13 years 7 months ago
    A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
    Download  www.biomedcentral.com
    Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
    Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
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