Sciweavers

952 search results - page 73 / 191
» Computational complexity of stochastic programming problems
Sort
View
130
Voted
ICML
2007
IEEE
16 years 1 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
100
Voted
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 7 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
ICALP
2003
Springer
15 years 5 months ago
Oracle Circuits for Branching-Time Model Checking
A special class of oracle circuits with tree-vector form is introduced. It is shown that they can be evaluated in deterministic polynomial-time with a polylog number of adaptive qu...
Ph. Schnoebelen
96
Voted
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
15 years 6 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
144
Voted
JMLR
2012
13 years 3 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo