Titlebook: Intelligent Data Engineering and Automated Learning - IDEAL 2007; 8th International Co Hujun Yin,Peter Tino,Xin Yao Conference proceedings

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書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007影響因子(影響力)




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007影響因子(影響力)學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007網(wǎng)絡(luò)公開度




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007被引頻次




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007被引頻次學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007年度引用




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007年度引用學(xué)科排名




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007讀者反饋




書目名稱Intelligent Data Engineering and Automated Learning - IDEAL 2007讀者反饋學(xué)科排名

cochlea

Exposure

Energy Saving by Means of Fuzzy Systems) and makes use of the concept of energy balance to distribute the energy between the heaters..Results show the proposed system as a very promising solution for energy saving and comfort tracking in houses. This solution is the preliminary study to be included in a heating system product of a local company.

pessimism

An Edit Distance Approach to Shallow Semantic Labelingo analyze the tradeoffs between the part-of-speech and lexical similarity in the semantic labeling. Experimental results for recognizing various labels in 10,000 sentences are used to justify its significances.

殺死

Variational GTMBayesian treatment to a Gaussian Process (GP)-based variation of GTM. The performance of the proposed Variational GTM is assessed in several experiments with artificial datasets. These experiments highlight the capability of Variational GTM to avoid data overfitting through active regularization.

山羊

Exploration of a Text Collection and Identification of Topics by Clusteringion of the extracted topics was performed by comparison with previously defined thematic categories for which titles are available, and after assigning each cluster to one dominant category. The results show that repeated bisecting k-means performs better than standard k-means.

與野獸博斗者

tolerance

LINE

DAMN

Skill Combination for Reinforcement Learninge information coupling of states thus improving an agent’s learning. The experimental results demonstrate that the skills combination method can effectively reduce the learning space, and so accelerate the learning speed of the RL agent. We also show in the examples that different tasks can be solved by combining simple reusable skills.