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PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
16 years 1 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
IEEEHPCS
2010
15 years 5 months ago
3-SAT on CUDA: Towards a massively parallel SAT solver
This work presents the design and implementation of a massively parallel 3-SAT solver, specifically targeting random problem instances. Our approach is deterministic and features ...
Quirin Meyer, Fabian Schonfeld, Marc Stamminger, R...
WABI
2009
Springer
127views Bioinformatics» more  WABI 2009»
16 years 1 months ago
Constructing Majority-Rule Supertrees
Background: Supertree methods combine the phylogenetic information from multiple partially-overlapping trees into a larger phylogenetic tree called a supertree. Several supertree ...
Jianrong Dong, David Fernández-Baca, Fred R...
ACCV
1998
Springer
15 years 11 months ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...
ICTAI
2009
IEEE
16 years 1 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...