Titlebook: Artificial Intelligence Applications and Innovations; 12th International C Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr

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Elicitation of User Preferences via Incremental Learning in a Declarative Modelling EnvironmentIn the current work we present the problems encountered in the effort to acquire and apply user profiles in such an environment, the modified boosting learning algorithm adopted and the corresponding experimental results.

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Employing a Radial-Basis Function Artificial Neural Network to Classify Western and Transition Europ

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Artificial Intelligence Applications and Innovations12th International C

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Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems probability vector of GPST. Further, as in the GPST, in the interest of higher rates of learning, a . that are currently perceived as being optimal is pursued to minimize the probability of pursuing a wrong arm. It turns out that GBPST is superior to GPST and that it even performs better than the B

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Michael Winikoff,Galina Sidorenko probability vector of GPST. Further, as in the GPST, in the interest of higher rates of learning, a . that are currently perceived as being optimal is pursued to minimize the probability of pursuing a wrong arm. It turns out that GBPST is superior to GPST and that it even performs better than the B

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Conference proceedings 2011ations of ANN and ethics of AI, and environmental and earth applications of AI. The volume also contains the accepted papers from the First Workshop on Computational Intelligence in Software Engineering (CISE 2011) and the Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011).

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Artificial Intelligence Applications and Innovations978-3-642-23960-1Series ISSN 1868-4238 Series E-ISSN 1868-422X