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» A new approach to artificial neural networks
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ICCS
2004
Springer
15 years 7 months ago
Using Runtime Measurements and Historical Traces for Acquiring Knowledge in Parallel Applications
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Luciano José Senger, Marcos José San...
124
Voted
MOZ
2004
Springer
15 years 7 months ago
A Mozart Implementation of CP(BioNet)
The analysis of biochemical networks consists in studying the interactions between biological entities cooperating in complex cellular processes. To facilitate the expression of an...
Grégoire Dooms, Yves Deville, Pierre Dupont
NIPS
2008
15 years 3 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
151
Voted
SC
2005
ACM
15 years 7 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
144
Voted
ATAL
2005
Springer
15 years 7 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson