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» Deductive Algorithmic Knowledge
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 9 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
124
Voted
EUROPAR
2007
Springer
15 years 8 months ago
Fine Tuning Algorithmic Skeletons
Abstract. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed ap...
Denis Caromel, Mario Leyton
WEBI
2005
Springer
15 years 8 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
EMMCVPR
2001
Springer
15 years 7 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...
VLDB
1997
ACM
66views Database» more  VLDB 1997»
15 years 6 months ago
A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
Khaled Alsabti, Sanjay Ranka, Vineet Singh