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Titlebook: Agents and Data Mining Interaction; 6th International Wo Longbing Cao,Ana L. C. Bazzan,Philip S. Yu Conference proceedings 2010 The Editor(

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樓主: whiplash
21#
發(fā)表于 2025-3-25 06:57:57 | 只看該作者
Deeds and Dreams of Eugene Garfield-organized networks..In agent-organized networks (AONs), agents have a limited number of collaboration partners at any time, represented by edges in a network of agent nodes. Agents have to learn to estimate the utility of current trading partners and rewire edges, i.e., change partners to improve p
22#
發(fā)表于 2025-3-25 08:14:48 | 只看該作者
Deeds and Dreams of Eugene Garfieldl issues, etc. The existing data mining tools provide workflow metaphor for data mining process visualization, audition and monitoring; these are particularly useful for distributed environments. In agent-based distributed data mining (ADDM), agents are an integral part of the system and can seamles
23#
發(fā)表于 2025-3-25 13:19:41 | 只看該作者
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發(fā)表于 2025-3-25 19:37:52 | 只看該作者
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發(fā)表于 2025-3-25 22:49:46 | 只看該作者
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發(fā)表于 2025-3-26 02:05:22 | 只看該作者
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發(fā)表于 2025-3-26 07:10:01 | 只看該作者
Antibiotics in Cultures of Invertebratesvironment. In these unpredictable conditions, the agents’ adaptive skills are a key factor for their success. Based on previous interactions with its environment, an agent must learn new knowledge about it, and use that information to guide its behavior throughout time. In order to build more believ
28#
發(fā)表于 2025-3-26 09:59:11 | 只看該作者
29#
發(fā)表于 2025-3-26 15:09:11 | 只看該作者
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發(fā)表于 2025-3-26 17:51:52 | 只看該作者
SpringerBriefs in Computer Scienceconcurrently. This problem cannot be optimally solved through general Q-learning techniques, so we propose a solution using a Semi Markov Decision Process (SMDP). We present a time-based reward shaping technique, TRS, to speed up the learning process in reinforcement learning. Especially, we show th
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