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Titlebook: Artificial Intelligence: Methods and Applications; 8th Hellenic Confere Aristidis Likas,Konstantinos Blekas,Dimitris Kalle Conference proce

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Eingangsbeispiele und Blockcodes,pecially when dealing with complex tasks. This work proposes an autonomous method for transfer learning in reinforcement learning agents. The proposed method is empirically evaluated in the keepaway and the mountain car domains. The results demonstrate that the proposed method can improve the learning procedure in the target task.
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Eingangsbeispiele und Blockcodes,a general dimensionality reduction framework. Experiments on a traditional dance recognition dataset are conducted and the advantage of using dimensionality reduction before classification is highlighted.
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Zyklische Codes und CRC-Verfahren,ross Validation and the method by Tibshirani and Tibshirani provide conservative estimations, with the later protocol being more computationally efficient. The role of stratification of samples is examined and it is shown that stratification is beneficial.
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Eingangsbeispiele und Blockcodes,is scheme is proposed, which possesses all the advantages of its ancestor and in addition, it requires the (crude) estimation of just a single parameter. Simulation results are provided that show the effectiveness of the proposed algorithm.
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