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    BMCBI
    2007
    126views more  BMCBI 2007»
    High-throughput identification of interacting protein-protein binding sites
    13 years 8 months ago
    High-throughput identification of interacting protein-protein binding sites
    Download  www.biomedcentral.com
    Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...
    Jo-Lan Chung, Wei Wang, Philip E. Bourne
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    ACL
    2003
    119views Computational Linguistics» more  ACL 2003»
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    13 years 9 months ago
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    Download  www.cs.cmu.edu
    This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
    Monica Rogati, J. Scott McCarley, Yiming Yang
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    ECML
    2006
    Springer
    135views Machine Learning» more  ECML 2006»
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    13 years 11 months ago
    Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
    Download  cs.gmu.edu
    A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
    Bojun Yan, Carlotta Domeniconi
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    BMCBI
    2010
    127views more  BMCBI 2010»
    Computational prediction of type III secreted proteins from gram-negative bacteria
    13 years 8 months ago
    Computational prediction of type III secreted proteins from gram-negative bacteria
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    Background: Type III secretion system (T3SS) is a specialized protein delivery system in gramnegative bacteria that injects proteins (called effectors) directly into the eukaryoti...
    Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma...
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    CVPR
    2009
    IEEE
    352views Computer Vision» more  CVPR 2009»
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    15 years 3 months ago
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    Download  www.kyb.mpg.de
    Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
    Peter V. Gehler, Sebastian Nowozin
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