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» A parallel search algorithm for CLNS addition optimization
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IJCNN
2007
IEEE
15 years 7 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
118
Voted
ICPR
2008
IEEE
16 years 2 months ago
On using error bounds to optimize cost-sensitive multimodal biometric authentication
While using more biometric traits in multimodal biometric fusion can effectively increase the system robustness, often, the cost associated to adding additional systems is not con...
Norman Poh, Josef Kittler
93
Voted
SPAA
2004
ACM
15 years 6 months ago
Improved combination of online algorithms for acceptance and rejection
Given two admission control algorithms that are cA-acceptcompetitive and cR-reject-competitive respectively, we give two ways to make an algorithm that is simultaneously O(cA)acce...
David P. Bunde, Yishay Mansour
NIPS
1998
15 years 2 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
103
Voted
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 7 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens