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    ACL
    2006
    184views Computational Linguistics» more  ACL 2006»
    Modeling Commonality among Related Classes in Relation Extraction
    14 years 11 months ago
    Modeling Commonality among Related Classes in Relation Extraction
    Download  acl.ldc.upenn.edu
    This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
    Guodong Zhou, Jian Su, Min Zhang
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    CONCURRENCY
    2002
    230views more  CONCURRENCY 2002»
    Economic models for resource management and scheduling in Grid computing
    14 years 9 months ago
    Economic models for resource management and scheduling in Grid computing
    Download  www.csse.monash.edu.au
    : The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promising next generation computing platforms. They enable the creation of Virtual Ent...
    Rajkumar Buyya, David Abramson, Jonathan Giddy, He...
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    JCC
    2002
    73views more  JCC 2002»
    Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function
    14 years 9 months ago
    Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function
    Download  www.molspaces.com
    : The evaluation of the electron density based similarity function scales quadratically with respect to the size of the molecules for simplified, atomic shell densities. Due to the...
    Pere Constans
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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    14 years 11 months ago
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    Download  pillowlab.cps.utexas.edu
    Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
    Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    15 years 10 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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