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    NN
    2010
    Springer
    189views Neural Networks» more  NN 2010»
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    14 years 4 months ago
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    Download  www.eis.mdx.ac.uk
    Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
    Junbin Gao, Paul W. Kwan, Daming Shi
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    SIGECOM
    2010
    ACM
    149views ECommerce» more  SIGECOM 2010»
    A new understanding of prediction markets via no-regret learning
    15 years 2 months ago
    A new understanding of prediction markets via no-regret learning
    Download  www.yiling.seas.harvard.edu
    We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
    Yiling Chen, Jennifer Wortman Vaughan
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    NIPS
    2008
    144views Information Technology» more  NIPS 2008»
    Non-parametric Regression Between Manifolds
    14 years 11 months ago
    Non-parametric Regression Between Manifolds
    Download  www.kyb.mpg.de
    This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
    Florian Steinke, Matthias Hein
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    ICMLA
    2009
    208views Machine Learning» more  ICMLA 2009»
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    14 years 7 months ago
    ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approx
    Download  www.grappa.univ-lille3.fr
    This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
    Manuel Loth, Philippe Preux, Samuel Delepoulle, Ch...
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    NIPS
    2007
    188views Information Technology» more  NIPS 2007»
    A Spectral Regularization Framework for Multi-Task Structure Learning
    14 years 11 months ago
    A Spectral Regularization Framework for Multi-Task Structure Learning
    Download  books.nips.cc
    Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
    Andreas Argyriou, Charles A. Micchelli, Massimilia...
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