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Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems, Part I; 15th International C Andreas K?nig,Andreas Dengel,Lakhmi C. Ja

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樓主: brachytherapy
21#
發(fā)表于 2025-3-25 04:47:48 | 只看該作者
On the Comparison of Parallel Island-Based Models for the Multiobjectivised Antenna Positioning Probructures required to establish a wireless network. A well-known mono-objective version of the problem has been used. The best-known approach to tackle such a version is a problem-dependent strategy. However, other methods which minimise the usage of problem-dependent information have also been defin
22#
發(fā)表于 2025-3-25 09:43:24 | 只看該作者
23#
發(fā)表于 2025-3-25 12:28:28 | 只看該作者
Globally Evolved Dynamic Bee Colony Optimizationa local solution. In this paper, three modifications for the BCO are proposed, i.e. global evolution for some bees, dynamic parameters of the colony, and special treatment for the best bee. Computer simulation shows that Modified BCO performs quite better than the BCO for some job shop scheduling pr
24#
發(fā)表于 2025-3-25 18:11:18 | 只看該作者
Polytope Classifier: A Symbolic Knowledge Extraction from Piecewise-Linear Support Vector Machineet of concise and interpretable IF-THEN rules from a novel polytope classifier, which can be described as a Piecewise-Linear Support Vector Machine with the successful application for linearly non-separable classification problems. Recent major achievements in rule extraction for kernelized classifi
25#
發(fā)表于 2025-3-25 23:52:35 | 只看該作者
26#
發(fā)表于 2025-3-26 01:50:59 | 只看該作者
27#
發(fā)表于 2025-3-26 04:35:51 | 只看該作者
28#
發(fā)表于 2025-3-26 10:54:56 | 只看該作者
29#
發(fā)表于 2025-3-26 16:02:08 | 只看該作者
30#
發(fā)表于 2025-3-26 18:57:47 | 只看該作者
Policy Gradient Reinforcement Learning with Environmental Dynamics and Action-Values in Policiese behavior knowledge for solving a given task. However, these two types of information, which are usually combined into state-value or action-value functions, are learned together by conventional reinforcement learning. If they are separated and learned independently, either might be reused in other
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