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    ICML
    2007
    IEEE
    250views Machine Learning» more  ICML 2007»
    Discriminative Gaussian process latent variable model for classification
    14 years 10 months ago
    Discriminative Gaussian process latent variable model for classification
    Download  people.csail.mit.edu
    Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
    Raquel Urtasun, Trevor Darrell
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    ICALT
    2003
    IEEE
    105views Machine Learning» more  ICALT 2003»
    A Conformance Test Suite of Localized LOM Model
    14 years 3 months ago
    A Conformance Test Suite of Localized LOM Model
    Download  media.cs.tsinghua.edu.cn
    Since the approval of IEEE LOM Draft Standard and the advance of network-driven learning technology, a large number of resource database constructors, content developers and learn...
    Xin Xiang, Yuanchun Shi, Ling Guo
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    ICMLC
    2010
    Springer
    178views Machine Learning» more  ICMLC 2010»
    Data mining model in analyzing portuguese studies as the second language acquisition
    13 years 8 months ago
    Data mining model in analyzing portuguese studies as the second language acquisition
    Download  www.sftw.umac.mo
    : Portuguese is specifically a difficult language with luxuriant tenses, and second language acquisition (SLA) is regarded as highly variable. Many (Chinese) students who learn Por...
    Sam Chao, Fai Wong, CustoDio Cavaco Martins
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    CSDA
    2007
    105views more  CSDA 2007»
    Model selection for support vector machines via uniform design
    13 years 10 months ago
    Model selection for support vector machines via uniform design
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    The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
    Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
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    AIR
    2005
    85views more  AIR 2005»
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    13 years 10 months ago
    On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
    Download  naoce.sjtu.edu.cn
    The paradox of fuzzy modeling is recognized due to the co-existence of its effectiveness of solving uncertain problems in the real world and the skepticism of its reasonability in ...
    Shaopei Lin
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