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CSDA
2007
114views more  CSDA 2007»
13 years 10 months ago
Relaxed Lasso
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
Nicolai Meinshausen
JMLR
2006
156views more  JMLR 2006»
13 years 10 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
FTDB
2007
95views more  FTDB 2007»
13 years 10 months ago
Architecture of a Database System
Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both academia and industr...
Joseph M. Hellerstein, Michael Stonebraker, James ...
AES
2005
Springer
105views Cryptology» more  AES 2005»
13 years 10 months ago
TH-collocation for the biharmonic equation
This paper is intended as a contribution to enhance orthogonal collocation methods. In this, a novel collocation method--TH-collocation--is applied to the biharmonic equation and ...
Martín Díaz, Ismael Herrera
TMI
2008
116views more  TMI 2008»
13 years 10 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...