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    BMCBI
    2010
    109views more  BMCBI 2010»
    FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
    13 years 7 months ago
    FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
    Download  www.cse.sc.edu
    Background: Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data. Th...
    Stephanie Zierke, Jason D. Bakos
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    WWW
    2008
    ACM
    167views Internet Technology» more  WWW 2008»
    Mining, indexing, and searching for textual chemical molecule information on the web
    14 years 8 months ago
    Mining, indexing, and searching for textual chemical molecule information on the web
    Download  www2008.org
    Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
    Bingjun Sun, Prasenjit Mitra, C. Lee Giles
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    AAAI
    2008
    178views Intelligent Agents» more  AAAI 2008»
    CIGAR: Concurrent and Interleaving Goal and Activity Recognition
    13 years 10 months ago
    CIGAR: Concurrent and Interleaving Goal and Activity Recognition
    Download  www.cse.ust.hk
    In artificial intelligence and pervasive computing research, inferring users' high-level goals from activity sequences is an important task. A major challenge in goal recogni...
    Derek Hao Hu, Qiang Yang
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    BMCBI
    2008
    214views more  BMCBI 2008»
    Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
    13 years 7 months ago
    Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
    Download  www.biomedcentral.com
    Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
    Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
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    ACL
    2006
    146views Computational Linguistics» more  ACL 2006»
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    13 years 9 months ago
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    Download  acl.ldc.upenn.edu
    This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
    Vijay Krishnan, Christopher D. Manning
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