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    IJCAI
    2007
    201views Artificial Intelligence» more  IJCAI 2007»
    Using Linear Programming for Bayesian Exploration in Markov Decision Processes
    13 years 10 months ago
    Using Linear Programming for Bayesian Exploration in Markov Decision Processes
    Download  www.cs.mcgill.ca
    A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
    Pablo Samuel Castro, Doina Precup
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    NIPS
    2008
    142views Information Technology» more  NIPS 2008»
    Mixed Membership Stochastic Blockmodels
    13 years 10 months ago
    Mixed Membership Stochastic Blockmodels
    Download  jmlr.csail.mit.edu
    Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
    Edoardo Airoldi, David M. Blei, Stephen E. Fienber...
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    13 years 10 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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    ACL
    2006
    107views Computational Linguistics» more  ACL 2006»
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment
    13 years 10 months ago
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment
    Download  www.sailing.cs.cmu.edu
    We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
    Bing Zhao, Eric P. Xing
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    BIOCOMP
    2006
    133views Bioinformatics» more  BIOCOMP 2006»
    Acceleration of Covariance Models for Non-coding RNA Search
    13 years 10 months ago
    Acceleration of Covariance Models for Non-coding RNA Search
    Download  ww1.ucmss.com
    Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...
    Scott F. Smith 0002
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