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» Evaluating Adaptive Problem Selection
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97
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IJCNN
2000
IEEE
15 years 8 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu
122
Voted
EPEW
2008
Springer
15 years 5 months ago
Evaluation of P2P Algorithms for Probabilistic Trust Inference in a Web of Trust
The problem of finding trust paths and estimating the trust one can place in a partner arises in various application areas, including virtual organisations, authentication systems ...
Huqiu Zhang, Aad P. A. van Moorsel
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 1 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
134
Voted
SCW
2006
IEEE
15 years 9 months ago
Towards Unified QoS/SLA Ontologies
This paper reports on work in progress to produce a unified Quality of Service (QoS) ontology This ontology must be applicable to the main scenarios currently identified such as Q...
Glen Dobson, Alfonso Sánchez-Macián
ECAI
2008
Springer
15 years 5 months ago
Heuristics for Dynamically Adapting Propagation
Building adaptive constraint solvers is a major challenge in constraint programming. An important line of research towards this goal is concerned with ways to dynamically adapt th...
Kostas Stergiou