Advanced Research in Applied Artificial Intelligence: 25th by Qing He, Ye Duan, Danyang Zhang (auth.), He Jiang, Wei Ding, PDF

By Qing He, Ye Duan, Danyang Zhang (auth.), He Jiang, Wei Ding, Moonis Ali, Xindong Wu (eds.)

ISBN-10: 3642310869

ISBN-13: 9783642310867

ISBN-10: 3642310877

ISBN-13: 9783642310874

This quantity constitutes the completely refereed convention lawsuits of the twenty fifth foreign convention on commercial Engineering and different functions of utilized Intelligend platforms, IEA/AIE 2012, held in Dalian, China, in June 2012. the whole of eighty two papers chosen for the complaints have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on computing device studying tools; cyber-physical procedure for clever transportation purposes; AI purposes; evolutionary algorithms, combinatorial optimization; modeling and help of cognitive and affective human tactics; traditional language processing and its functions; social community and its purposes; mission-critical functions and case stories of clever platforms; AI equipment; sentiment research for asian languages; points on cognitive computing and clever interplay; spatio-temporal datamining, established studying and their purposes; choice making and data dependent structures; development reputation; agent established platforms; choice making thoughts and cutting edge wisdom administration; computer studying applications.

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Additional resources for Advanced Research in Applied Artificial Intelligence: 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings

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In this paper, we implement two-word co-occurrence filtering by applying the Bayesian filtering method as a spam filter. We propose grouping co-occurrence filtering based on Bayesian filtering and experimentally verify our approach. Grouping co-occurence filtering detect harmful or safe documents at low cost. Our result suggests that grouping co-occurrence filtering is more stable and has a higher accuracy than co-occurrence filtering baesd on Bayesian filtering. Keywords: Co-occurrence, Bayesian Filtering, Gray Robinson.

The sentence has three co-occurrence groups. First, a T ime group has two co-occurrences that contain T ime {T ime, is} and {T ime, money}. Another group contains two co-occurrences {is, T ime} and {is, money}. Finally, a co-occurrence contains money as {money, T ime} and {money, is}: Fig. 3. Co-occurrence group Grouping co-occurrence filtering retrives the co-occurrence group feature value by using average of each co-occurence spam probability. Formula (9) averages p(coi ) over the n is the number of groups, taking example three.

Such an assumption in many real-world applications hardly holds. Recently, many efforts have been put to transfer learning [7]. Basically, transfer learning resolves the issue that training date and future deployment environment (or so-called testing data) may have different distributions or feature space. Transfer learning does not deal with issues in batched H. Jiang et al. ): IEA/AIE 2012, LNAI 7345, pp. 40–47, 2012. © Springer-Verlag Berlin Heidelberg 2012 Model Fusion-Based Batch Learning with Application to Oil Spills Detection 41 data directly.

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Advanced Research in Applied Artificial Intelligence: 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings by Qing He, Ye Duan, Danyang Zhang (auth.), He Jiang, Wei Ding, Moonis Ali, Xindong Wu (eds.)


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