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    JCB
    2007
    130views more  JCB 2007»
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    13 years 7 months ago
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    Download  morrislab.med.utoronto.ca
    MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
    Jim C. Huang, Quaid Morris, Brendan J. Frey
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    EMNLP
    2008
    89views Natural Language Processing» more  EMNLP 2008»
    Unsupervised Multilingual Learning for POS Tagging
    13 years 9 months ago
    Unsupervised Multilingual Learning for POS Tagging
    Download  people.csail.mit.edu
    We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
    Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
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    WWW
    2009
    ACM
    189views Internet Technology» more  WWW 2009»
    A dynamic bayesian network click model for web search ranking
    14 years 8 months ago
    A dynamic bayesian network click model for web search ranking
    Download  www2009.org
    As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
    Olivier Chapelle, Ya Zhang
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    BMCBI
    2008
    107views more  BMCBI 2008»
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    13 years 7 months ago
    A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
    Download  www.biomedcentral.com
    Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
    Cong Zhou, Lucas D. Bowler, Jianfeng Feng
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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    13 years 8 months ago
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
    Rong Jin, Luo Si
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