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IWANN
1999
Springer
15 years 10 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
BMCBI
2008
127views more  BMCBI 2008»
15 years 6 months ago
Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides
Background: Promoter region plays an important role in determining where the transcription of a particular gene should be initiated. Computational prediction of eukaryotic Pol II ...
Jian-Yi Yang, Yu Zhou, Zu-Guo Yu, Vo Anh, Li-Qian ...
GRAPHITE
2007
ACM
15 years 10 months ago
Visibility map for global illumination in point clouds
Point-sampled geometry has gained significant interest due to their simplicity. The lack of connectivity touted as a plus, however, creates difficulties in many operations like ge...
Rhushabh Goradia, Anil Kanakanti, Sharat Chandran,...
CGF
2008
129views more  CGF 2008»
15 years 6 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker
185
Voted
IPPS
2010
IEEE
15 years 4 months ago
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
Seunghwa Kang, David A. Bader