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Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2013; 14th International C Hujun Yin,Ke Tang,Xin Yao Conference proceedings 20

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Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation,dered. In this paper, we propose a new method of measuring stability and discrimination power of a metric. The problem is initiated by Buckley and Voorhees. The advantage of the proposed method is that we are able to measure both aspects together in a systematic manner. Five metrics are tested in th
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System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voisses of micro- and nano-machining. The remote system for monitoring and optimization of process quality, which is equipped with a speech interface and artificial intelligence, is presented in exemplary application in the precision grinding process. The developed concept proposes an architecture of t
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Racing for Unbalanced Methods Selection,cope with unbalanced data. However, as confirmed by our experimental comparison, no technique appears to work consistently better in all conditions. We propose to use a racing method to select adaptively the most appropriate strategy for a given unbalanced task. The results show that racing is able
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Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning,t both negotiators refuse to give more information for their own interests, it introduces a mediator agent as the mediation mechanism. It considers the correlation between quantity and price simultaneously, and uses reinforcement learning to generate the optimal behavioral strategy. Comparing with ’
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Web Service Evaluation Method Based on Time-aware Collaborative Filtering,arget users find the reliable services. Current approaches of evaluation based on the collaborative filtering lack the consideration of the time-aware effectiveness of the past data. To solve the problem, we proposed a web service evaluation approach based on the time-aware collaborative filtering,
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An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots,Optimization (ACO). However, the algorithm’s performance is often influenced heavily by the determination of the operators and the choice of related parameters. In this paper, a permutation code PBIL is proposed to solve the path planning problem. First, a free space model of the mobile robot is con
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