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    RECOMB
    2007
    Springer
    158views Computational Biology» more  RECOMB 2007»
    A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
    14 years 5 months ago
    A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
    Download  www.psi.toronto.edu
    Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
    Anitha Kannan, Andrew Emili, Brendan J. Frey
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    EMNLP
    2008
    89views Natural Language Processing» more  EMNLP 2008»
    Unsupervised Multilingual Learning for POS Tagging
    13 years 6 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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    JCB
    2007
    130views more  JCB 2007»
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    13 years 5 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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    ACL
    2007
    80views Computational Linguistics» more  ACL 2007»
    A fully Bayesian approach to unsupervised part-of-speech tagging
    13 years 6 months ago
    A fully Bayesian approach to unsupervised part-of-speech tagging
    Download  cocosci.berkeley.edu
    Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
    Sharon Goldwater, Tom Griffiths
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    NECO
    2002
    104views more  NECO 2002»
    An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
    13 years 5 months ago
    An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
    Download  users.ics.tkk.fi
    A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
    Harri Valpola, Juha Karhunen
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