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    » Kernels for Multi--task Learning
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    ML
    2012
    ACM
    388views Machine Learning» more  ML 2012»
    Statistical analysis of kernel-based least-squares density-ratio estimation
    12 years 3 months ago
    Statistical analysis of kernel-based least-squares density-ratio estimation
    Download  sugiyama-www.cs.titech.ac.jp
    The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
    Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
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    ICCV
    2001
    IEEE
    136views Computer Vision» more  ICCV 2001»
    Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
    14 years 9 months ago
    Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
    Download  www.cs.cmu.edu
    Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schö...
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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    14 years 5 months ago
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    Download  www.cs.toronto.edu
    Anthony J. Bonner, Martin Renqiang Min, Rui Kuang,...
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    BIBM
    2007
    IEEE
    135views Bioinformatics» more  BIBM 2007»
    Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
    14 years 2 months ago
    Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
    Download  www.ischool.drexel.edu
    Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
    Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
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    IJCNN
    2007
    IEEE
    119views Neural Networks» more  IJCNN 2007»
    Maximum Margin based Semi-supervised Spectral Kernel Learning
    14 years 2 months ago
    Maximum Margin based Semi-supervised Spectral Kernel Learning
    Download  www.cse.cuhk.edu.hk
    Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
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