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    EMNLP
    2008
    105views Natural Language Processing» more  EMNLP 2008»
    One-Class Clustering in the Text Domain
    13 years 11 months ago
    One-Class Clustering in the Text Domain
    Download  www.cs.umass.edu
    Having seen a news title "Alba denies wedding reports", how do we infer that it is primarily about Jessica Alba, rather than about weddings or reports? We probably reali...
    Ron Bekkerman, Koby Crammer
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    NETWORKING
    2008
    154views Computer Networks» more  NETWORKING 2008»
    Cooperative Replication in Content Networks with Nodes under Churn
    13 years 11 months ago
    Cooperative Replication in Content Networks with Nodes under Churn
    Download  www.bionets.eu
    In content networks, a replication group refers to a set of nodes that cooperate with each other to retrieve information objects from a distant server. Each node locally replicates...
    Eva Jaho, Ioannis Z. Koukoutsidis, Ioannis Stavrak...
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    NIPS
    2008
    154views Information Technology» more  NIPS 2008»
    Characterizing neural dependencies with copula models
    13 years 11 months ago
    Characterizing neural dependencies with copula models
    Download  pillowlab.cps.utexas.edu
    The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses. However, there is no simple model that can simultane...
    Pietro Berkes, Frank Wood, Jonathan Pillow
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    NIPS
    2007
    138views Information Technology» more  NIPS 2007»
    Local Algorithms for Approximate Inference in Minor-Excluded Graphs
    13 years 11 months ago
    Local Algorithms for Approximate Inference in Minor-Excluded Graphs
    Download  books.nips.cc
    We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
    Kyomin Jung, Devavrat Shah
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    NIPS
    2007
    201views Information Technology» more  NIPS 2007»
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    13 years 11 months ago
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    Download  books.nips.cc
    We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
    Maryam Mahdaviani, Tanzeem Choudhury
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