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» A Guided Monte Carlo Approach to Optimization Problems
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WEBI
2007
Springer
15 years 4 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
CGF
2006
94views more  CGF 2006»
14 years 10 months ago
Optimizing Control Variate Estimators for Rendering
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui,...
TSMC
2011
258views more  TSMC 2011»
14 years 4 months ago
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
EVOW
2012
Springer
13 years 5 months ago
Applying (Hybrid) Metaheuristics to Fuel Consumption Optimization of Hybrid Electric Vehicles
This work deals with the application of metaheuristics to the fuel consumption minimization problem of hybrid electric vehicles (HEV) considering exactly specified driving cycles....
Thorsten Krenek, Mario Ruthmair, Günther R. R...
FTEDA
2006
137views more  FTEDA 2006»
14 years 10 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi