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    » Kernel Regression with Order Preferences
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    NIPS
    2001
    149views Information Technology» more  NIPS 2001»
    Learning a Gaussian Process Prior for Automatically Generating Music Playlists
    13 years 6 months ago
    Learning a Gaussian Process Prior for Automatically Generating Music Playlists
    Download  books.nips.cc
    This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to le...
    John C. Platt, Christopher J. C. Burges, S. Swenso...
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    ECML
    2004
    Springer
    155views Machine Learning» more  ECML 2004»
    Efficient Hyperkernel Learning Using Second-Order Cone Programming
    13 years 9 months ago
    Efficient Hyperkernel Learning Using Second-Order Cone Programming
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    The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
    Ivor W. Tsang, James T. Kwok
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    CIMAGING
    2008
    172views Hardware» more  CIMAGING 2008»
    A generalization of non-local means via kernel regression
    13 years 6 months ago
    A generalization of non-local means via kernel regression
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    The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...
    Priyam Chatterjee, Peyman Milanfar
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    SCALESPACE
    2005
    Springer
    95views Computer Vision» more  SCALESPACE 2005»
    Relations Between Higher Order TV Regularization and Support Vector Regression
    13 years 10 months ago
    Relations Between Higher Order TV Regularization and Support Vector Regression
    Download  www.mia.uni-saarland.de
    We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
    Gabriele Steidl, Stephan Didas, Julia Neumann
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    ICML
    2005
    IEEE
    121views Machine Learning» more  ICML 2005»
    Combining model-based and instance-based learning for first order regression
    14 years 6 months ago
    Combining model-based and instance-based learning for first order regression
    Download  www.cs.kuleuven.ac.be
    T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
    Kurt Driessens, Saso Dzeroski
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