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    ICDCSW
    2006
    IEEE
    133views Computer Networks» more  ICDCSW 2006»
    Improve Searching by Reinforcement Learning in Unstructured P2Ps
    14 years 3 months ago
    Improve Searching by Reinforcement Learning in Unstructured P2Ps
    Download  www.cse.fau.edu
    — Existing searching schemes in unstructured P2Ps can be categorized as either blind or informed. The quality of query results in blind schemes is low. Informed schemes use simpl...
    Xiuqi Li, Jie Wu
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    EMNLP
    2009
    104views Natural Language Processing» more  EMNLP 2009»
    Unsupervised morphological segmentation and clustering with document boundaries
    13 years 7 months ago
    Unsupervised morphological segmentation and clustering with document boundaries
    Download  www.aclweb.org
    Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
    Taesun Moon, Katrin Erk, Jason Baldridge
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    BMCBI
    2008
    150views more  BMCBI 2008»
    MOSAIC: an online database dedicated to the comparative genomics of bacterial strains at the intra-species level
    13 years 10 months ago
    MOSAIC: an online database dedicated to the comparative genomics of bacterial strains at the intra-species level
    Download  www.biomedcentral.com
    Background: The recent availability of complete sequences for numerous closely related bacterial genomes opens up new challenges in comparative genomics. Several methods have been...
    Hélène Chiapello, Annie Gendrault, C...
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    SASP
    2009
    IEEE
    291views Hardware» more  SASP 2009»
    A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
    14 years 4 months ago
    A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
    Download  www.see.ed.ac.uk
    —This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
    Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
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    BMCBI
    2005
    100views more  BMCBI 2005»
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    13 years 9 months ago
    Evolutionary models for insertions and deletions in a probabilistic modeling framework
    Download  www.biomedcentral.com
    Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
    Elena Rivas
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