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    COLT
    2006
    Springer
    235views Machine Learning» more  COLT 2006»
    Learning Bounds for Support Vector Machines with Learned Kernels
    15 years 9 months ago
    Learning Bounds for Support Vector Machines with Learned Kernels
    Download  www.cs.nyu.edu
    Nathan Srebro, Shai Ben-David
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    CVPR
    2009
    IEEE
    458views Computer Vision» more  CVPR 2009»
    Domain Transfer SVM for Video Concept Detection
    17 years 24 days ago
    Domain Transfer SVM for Video Concept Detection
    Download  www3.ntu.edu.sg
    Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
    Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...
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    SDM
    2004
    SIAM
    218views Data Mining» more  SDM 2004»
    Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
    15 years 7 months ago
    Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
    Download  www.riacs.edu
    This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
    Ashok N. Srivastava
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    NIPS
    2007
    155views Information Technology» more  NIPS 2007»
    Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
    15 years 7 months ago
    Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
    Download  books.nips.cc
    We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
    Ruslan Salakhutdinov, Geoffrey E. Hinton
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    ICML
    2010
    IEEE
    187views Machine Learning» more  ICML 2010»
    Two-Stage Learning Kernel Algorithms
    15 years 6 months ago
    Two-Stage Learning Kernel Algorithms
    Download  www.cs.nyu.edu
    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
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