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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 7 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Bayesian Agglomerative Clustering with Coalescents
    13 years 8 months ago
    Bayesian Agglomerative Clustering with Coalescents
    Download  www.cs.utah.edu
    We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
    Yee Whye Teh, Hal Daumé III, Daniel M. Roy
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 8 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    ICRA
    2008
    IEEE
    150views Robotics» more  ICRA 2008»
    Rigorously Bayesian range finder sensor model for dynamic environments
    14 years 1 months ago
    Rigorously Bayesian range finder sensor model for dynamic environments
    Download  people.mech.kuleuven.be
    — This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
    Tinne De Laet, Joris De Schutter, Herman Bruyninck...
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    ISDA
    2008
    IEEE
    201views Operating System» more  ISDA 2008»
    Combining Clustering and Bayesian Network for Gene Network Inference
    14 years 1 months ago
    Combining Clustering and Bayesian Network for Gene Network Inference
    Download  webs.cs.utm.my
    Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
    Suhaila Zainudin, Safaai Deris
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