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Titlebook: Hybrid Artificial Intelligent Systems; 8th International Co Jeng-Shyang Pan,Marios M. Polycarpou,Emilio Corcha Conference proceedings 2013

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樓主: 戰(zhàn)神
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發(fā)表于 2025-4-1 01:51:36 | 只看該作者
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發(fā)表于 2025-4-1 07:53:08 | 只看該作者
Simulating a Collective Intelligence Approach to Student Team Formationructure generation, and Bayesian learning. We carried out simulations in hypothetic classroom scenarios that show that the policy is capable of converging towards the optimal solution as long as students do not have great difficulties evaluating others.
63#
發(fā)表于 2025-4-1 12:04:27 | 只看該作者
Conference proceedings 2013Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.
64#
發(fā)表于 2025-4-1 16:15:17 | 只看該作者
0302-9743 Video and Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.978-3-642-40845-8978-3-642-40846-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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69#
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Clinical Careflows Aided by Uncertainty Representation Modelsancer. It also presents two models, one based on Bayesian Networks, and another one on Artificial Neural Networks, for colorectal cancer prognosis. The objective is to observe how well these two ways of obtaining and representing knowledge are complementary, and how the machine learning models perform, attending to the available information.
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