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» Sparse Optimization for Second Order Kernel Methods
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AAAI
2007
13 years 9 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
TCBB
2008
126views more  TCBB 2008»
13 years 7 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen
TOG
2008
101views more  TOG 2008»
13 years 7 months ago
Synthesis of constrained walking skills
Simulated characters in simulated worlds require simulated skills. We develop control strategies that enable physically-simulated characters to dynamically navigate environments w...
Stelian Coros, Philippe Beaudoin, KangKang Yin, Mi...
COMPUTING
2008
174views more  COMPUTING 2008»
13 years 7 months ago
Multilevel algorithms for Rannacher-Turek finite element approximation of 3D elliptic problems
Generalizing the approach of a previous work [15] the authors present multilevel preconditioners for three-dimensional (3D) elliptic problems discretized by a family of Rannacher ...
Ivan Georgiev, Johannes Kraus, Svetozar Margenov
ICCAD
2006
IEEE
108views Hardware» more  ICCAD 2006»
14 years 4 months ago
Soft error reduction in combinational logic using gate resizing and flipflop selection
Soft errors in logic are emerging as a significant reliability problem for VLSI designs. This paper presents novel circuit optimization techniques to mitigate soft error rates (SE...
Rajeev R. Rao, David Blaauw, Dennis Sylvester