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IPPS
2008
IEEE
14 years 3 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ECAI
2008
Springer
13 years 10 months ago
A decision support system for breast cancer detection in screening programs
The goal of breast cancer screening programs is to detect cancers at an early (preclinical) stage, by using periodic mammographic examinations in asymptomatic women. In evaluating ...
Marina Velikova, Peter J. F. Lucas, Nivea de Carva...
ICRA
2009
IEEE
98views Robotics» more  ICRA 2009»
14 years 3 months ago
Multi-robot routing with linear decreasing rewards over time
Abstract— We study multi-robot routing problems (MRLDR) where a team of robots has to visit a set of given targets with linear decreasing rewards over time, such as required for ...
Ali Ekici, Pinar Keskinocak, Sven Koenig
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 3 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...