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ESOA
2006
15 years 10 months ago
Reinforcement Learning for Online Control of Evolutionary Algorithms
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Marti...
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
15 years 10 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
BMVC
2001
15 years 9 months ago
Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation
We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a soluti...
Pavel Laskov, Chandra Kambhamettu
FLAIRS
2007
15 years 9 months ago
Deriving Chronological Information from Texts through a Graph-Based Algorithm
We propose a method of deriving chronological order of events in natural language texts by constraining temporal boundaries associated to events and projecting them on a timeline....
Cosmin Adrian Bejan
CPAIOR
2008
Springer
15 years 8 months ago
Using Local Search to Speed Up Filtering Algorithms for Some NP-Hard Constraints
Abstract. This paper proposes to use local search inside filtering algorithms of combinatorial structures for which achieving a desired level of consistency is too computationally ...
Philippe Galinier, Alain Hertz, Sandrine Paroz, Gi...