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    IEEEICCI
    2009
    IEEE
    271views Artificial Intelligence» more  IEEEICCI 2009»
    Learning from an ensemble of Receptive Fields
    15 years 3 months ago
    Learning from an ensemble of Receptive Fields
    Download  www1.i2r.a-star.edu.sg
    Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
    Hanlin Goh, Joo Hwe Lim, Chai Quek
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    AIM
    2010
    98views Software Engineering» more  AIM 2010»
    Lessons Learned from Virtual Humans
    15 years 3 months ago
    Lessons Learned from Virtual Humans
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    William R. Swartout
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    CLEIEJ
    2010
    146views Information Technology» more  CLEIEJ 2010»
    Logic Programming: Can the learning and teaching process be improved apart from standards adopted by most professors and establi
    15 years 3 months ago
    Logic Programming: Can the learning and teaching process be improved apart from standards adopted by most professors and establi
    Download  www.clei.cl
    Logic programming is one of the most important subjects for students pursuing a degree in Information Technology and Communication (ITC) at higher education institutions. Teaching ...
    Ricardo Luiz B. L. Campos
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    COGSCI
    2011
    47views more  COGSCI 2011»
    Phonological Abstraction in Processing Lexical-Tone Variation: Evidence From a Learning Paradigm
    15 years 27 days ago
    Phonological Abstraction in Processing Lexical-Tone Variation: Evidence From a Learning Paradigm
    Download  pubman.mpdl.mpg.de
    Holger Mitterer, Yiya Chen, Xiaolin Zhou
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    COLING
    2010
    136views Computational Linguistics» more  COLING 2010»
    Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
    15 years 26 days ago
    Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
    Download  aclweb.org
    Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
    Bing Liu, Longhua Qian, Hongling Wang, Guodong Zho...
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