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    NPL
    2002
    168views more  NPL 2002»
    Reduced Rank Kernel Ridge Regression
    13 years 5 months ago
    Reduced Rank Kernel Ridge Regression
    Download  theoval.cmp.uea.ac.uk
    Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
    Gavin C. Cawley, Nicola L. C. Talbot
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    IJCNN
    2007
    IEEE
    131views Neural Networks» more  IJCNN 2007»
    Probability Density Function Estimation Using Orthogonal Forward Regression
    14 years 11 days ago
    Probability Density Function Estimation Using Orthogonal Forward Regression
    Download  users.ecs.soton.ac.uk
    — Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
    Sheng Chen, Xia Hong, Chris J. Harris
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    ACL
    2006
    153views Computational Linguistics» more  ACL 2006»
    A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
    13 years 7 months ago
    A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
    Download  acl.ldc.upenn.edu
    This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
    Min Zhang, Jie Zhang, Jian Su, Guodong Zhou
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    JMLR
    2012
    187views Programming Languages» more  JMLR 2012»
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    11 years 8 months ago
    Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
    Download  www.eecs.berkeley.edu
    Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
    Garvesh Raskutti, Martin J. Wainwright, Bin Yu
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    IJCNN
    2008
    IEEE
    110views Neural Networks» more  IJCNN 2008»
    Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition
    14 years 14 days ago
    Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition
    Download  www.carlosalzate.com
    Carlos Alzate, Johan A. K. Suykens
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