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    COGSCI
    2002
    99views more  COGSCI 2002»
    Learning words from sights and sounds: a computational model
    14 years 9 months ago
    Learning words from sights and sounds: a computational model
    Download  web.media.mit.edu
    This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
    Deb Roy, Alex Pentland
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    ICCV
    2003
    IEEE
    156views Computer Vision» more  ICCV 2003»
    Reinforcement Learning for Combining Relevance Feedback Techniques
    15 years 2 months ago
    Reinforcement Learning for Combining Relevance Feedback Techniques
    Download  lear.inrialpes.fr
    Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
    Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
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    JMLR
    2010
    162views more  JMLR 2010»
    A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
    14 years 4 months ago
    A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
    Download  jmlr.csail.mit.edu
    An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
    Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
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    AI
    2009
    Springer
    186views Artificial Intelligence» more  AI 2009»
    Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
    15 years 4 months ago
    Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
    Download  www.sumo.intec.ugent.be
    Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
    Dirk Gorissen
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    NC
    2006
    132views Neural Networks» more  NC 2006»
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    14 years 9 months ago
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    Download  bura.brunel.ac.uk
    Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
    Stephen Swift, Joost N. Kok, Xiaohui Liu
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