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    NN
    2010
    Springer
    183views Neural Networks» more  NN 2010»
    Dimensionality reduction for density ratio estimation in high-dimensional spaces
    13 years 5 months ago
    Dimensionality reduction for density ratio estimation in high-dimensional spaces
    Download  sugiyama-www.cs.titech.ac.jp
    The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
    Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
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    JMLR
    2010
    162views more  JMLR 2010»
    A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
    13 years 2 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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    ICASSP
    2009
    IEEE
    496views Signal Processing» more  ICASSP 2009»
    Neural network based language models for highly inflective languages
    13 years 11 months ago
    Neural network based language models for highly inflective languages
    Download  www.fit.vutbr.cz
    Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
    Tomas Mikolov, Jirí Kopecký, Lukas B...
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    ESWA
    2011
    220views Database» more  ESWA 2011»
    Unsupervised neural models for country and political risk analysis
    12 years 11 months ago
    Unsupervised neural models for country and political risk analysis
    Download  gicap.ubu.es
    This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
    Álvaro Herrero, Emilio Corchado, Alfredo Ji...
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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