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    RECOMB
    2009
    Springer
    179views Computational Biology» more  RECOMB 2009»
    Haplotype Inference in Complex Pedigrees
    14 years 8 months ago
    Haplotype Inference in Complex Pedigrees
    Download  www.cs.berkeley.edu
    Abstract. Despite the desirable information contained in complex pedigree datasets, analysis methods struggle to efficiently process these datasets. The attractiveness of pedigree ...
    Bonnie Kirkpatrick, Javier Rosa, Eran Halperin, Ri...
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    ICML
    2009
    IEEE
    150views Machine Learning» more  ICML 2009»
    Grammatical inference as a principal component analysis problem
    14 years 2 months ago
    Grammatical inference as a principal component analysis problem
    Download  www.cs.mcgill.ca
    One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
    Raphaël Bailly, François Denis, Liva R...
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    TOSEM
    1998
    80views more  TOSEM 1998»
    Discovering Models of Software Processes from Event-Based Data
    13 years 7 months ago
    Discovering Models of Software Processes from Event-Based Data
    Download  www.cs.colorado.edu
    Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
    Jonathan E. Cook, Alexander L. Wolf
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 4 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    AAAI
    1997
    124views Intelligent Agents» more  AAAI 1997»
    Effective Bayesian Inference for Stochastic Programs
    13 years 9 months ago
    Effective Bayesian Inference for Stochastic Programs
    Download  ai.stanford.edu
    In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
    Daphne Koller, David A. McAllester, Avi Pfeffer
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