Sciweavers

3475 search results - page 15 / 695
» Backbones in Optimization and Approximation
Sort
View
JMLR
2002
115views more  JMLR 2002»
13 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
JLP
2006
92views more  JLP 2006»
13 years 7 months ago
Exact real arithmetic using centred intervals and bounded error terms
Approximations based on dyadic centred intervals are investigated as a means for implementing exact real arithmetic. It is shown that the field operations can be implemented on th...
Jens Blanck
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 3 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
JCC
2008
166views more  JCC 2008»
13 years 7 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng
GECCO
2004
Springer
129views Optimization» more  GECCO 2004»
14 years 1 months ago
Memetic Optimization of Video Chain Designs
Abstract. Improving image quality is the backbone of highly competitive display industry. Contemporary video processing system design is a challenging optimization problem. General...
Walid Ali, Alexander P. Topchy