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    ACL
    2012
    219views Computational Linguistics» more  ACL 2012»
    A Nonparametric Bayesian Approach to Acoustic Model Discovery
    11 years 10 months ago
    A Nonparametric Bayesian Approach to Acoustic Model Discovery
    Download  aclweb.org
    We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...
    Chia-ying Lee, James R. Glass
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    TKDE
    2012
    250views Formal Methods» more  TKDE 2012»
    Dense Subgraph Extraction with Application to Community Detection
    11 years 10 months ago
    Dense Subgraph Extraction with Application to Community Detection
    Download  www.mcs.anl.gov
    — This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
    Jie Chen 0007, Yousef Saad
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    AAAI
    2012
    272views Intelligent Agents» more  AAAI 2012»
    A Spin-Glass Model for Semi-Supervised Community Detection
    11 years 10 months ago
    A Spin-Glass Model for Semi-Supervised Community Detection
    Download  cs.brynmawr.edu
    Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
    Eric Eaton, Rachael Mansbach
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    AAAI
    2012
    205views Intelligent Agents» more  AAAI 2012»
    Planning in Factored Action Spaces with Symbolic Dynamic Programming
    11 years 10 months ago
    Planning in Factored Action Spaces with Symbolic Dynamic Programming
    Download  www.cs.tufts.edu
    We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
    Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...
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    AAAI
    2012
    246views Intelligent Agents» more  AAAI 2012»
    Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
    11 years 10 months ago
    Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
    Download  www-kd.iai.uni-bonn.de
    Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
    Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
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