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DEBS
2010
ACM
14 years 6 days ago
Logic-based representation, reasoning and machine learning for event recognition
Today’s organisations require techniques for automated transformation of the large data volumes they collect during their operations into operational knowledge. This requirement...
Alexander Artikis, Georgios Paliouras, Franç...
DBISP2P
2006
Springer
185views Database» more  DBISP2P 2006»
13 years 12 months ago
Answering Constrained k-NN Queries in Unstructured P2P Systems
The processing of k-NN queries has been studied extensively both in a centralized computing environment and in a structured P2P environment. However, the problem over an unstructur...
Bin Wang, Xiaochun Yang, Guoren Wang, Lei Chen 000...
PARA
1995
Springer
13 years 12 months ago
Decomposing Linear Programs for Parallel Solution
Coarse grain parallelism inherent in the solution of Linear Programming (LP) problems with block angular constraint matrices has been exploited in recent research works. However, t...
Ali Pinar, Ümit V. Çatalyürek, Ce...
ABIALS
2008
Springer
13 years 10 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
13 years 9 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...