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    BMCBI
    2007
    129views more  BMCBI 2007»
    Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
    13 years 5 months ago
    Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
    Download  www.biomedcentral.com
    Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
    Carson M. Andorf, Drena Dobbs, Vasant Honavar
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    BMCBI
    2007
    116views more  BMCBI 2007»
    Clustering protein environments for function prediction: finding PROSITE motifs in 3D
    13 years 5 months ago
    Clustering protein environments for function prediction: finding PROSITE motifs in 3D
    Download  www.biomedcentral.com
    Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
    Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, G...
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    TNN
    2010
    205views Management» more  TNN 2010»
    Behavior-constrained support vector machines for fMRI data analysis
    13 years 1 days ago
    Behavior-constrained support vector machines for fMRI data analysis
    Download  psg275.bham.ac.uk
    Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
    Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
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    ICML
    2005
    IEEE
    195views Machine Learning» more  ICML 2005»
    Active learning for Hidden Markov Models: objective functions and algorithms
    14 years 6 months ago
    Active learning for Hidden Markov Models: objective functions and algorithms
    Download  www.cs.cmu.edu
    Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
    Brigham Anderson, Andrew Moore
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    LREC
    2008
    128views Education» more  LREC 2008»
    Relation between Agreement Measures on Human Labeling and Machine Learning Performance: Results from an Art History Domain
    13 years 6 months ago
    Relation between Agreement Measures on Human Labeling and Machine Learning Performance: Results from an Art History Domain
    Download  www.lrec-conf.org
    We discuss factors that affect human agreement on a semantic labeling task in the art history domain, based on the results of four experiments where we varied the number of labels...
    Rebecca J. Passonneau, Thomas Lippincott, Tae Yano...
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