Download Advances in Artificial Intelligence: 25th Canadian by Aysha Akther, Heung-Nam Kim, Majdi Rawashdeh, Abdulmotaleb PDF

By Aysha Akther, Heung-Nam Kim, Majdi Rawashdeh, Abdulmotaleb El Saddik (auth.), Leila Kosseim, Diana Inkpen (eds.)

This booklet constitutes the refereed lawsuits of the twenty fifth Canadian convention on man made Intelligence, Canadian AI 2012, held in Toronto, Canada, in might 2012. The 23 average papers, sixteen brief papers, and four papers from the Graduate pupil Symposium awarded have been rigorously reviewed and chosen for inclusion during this e-book. The papers conceal a large variety of subject matters proposing unique paintings in all parts of man-made intelligence, both theoretical or applied.

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Read or Download Advances in Artificial Intelligence: 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Toronto, ON, Canada, May 28-30, 2012. Proceedings PDF

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Res. ca Abstract. We present results of sentiment analysis in Twitter messages that disclose personal health information. In these messages (tweets), users discuss ailment, treatment, medications, etc. We use the authorcentric annotation model to label tweets as positive sentiments, negative sentiments or neutral. The results of the agreement among three raters are reported and discussed. We then use Machine Learning methods on multi-class and binary classification of sentiments. The obtained results are comparable with previous results in the subjectivity analysis of userwritten Web content.

The pairwise classification approach tends to perform better than other well-known approaches when dealing with multiclass classification problems. In the pairwise approach, however, the nuisance votes of many irrelevant classifiers may result in a wrong prediction class. To overcome this problem, a novel method, Local Crossing Off (LCO), is presented and evaluated in this paper. The proposed LCO system takes advantage of nearest neighbor classification algorithm because of its simplicity and speed, as well as the strength of other two powerful binary classifiers to discriminate between two classes.

185–208. MIT Press (1999) 13. : Data mining: practical machine learning tools and techniques with Java implementations. ACM SIGMOD Record 31, 76–77 (2002) 14. : Learning control knowledge for forward search planning. The Journal of Machine Learning Research 9, 683–718 (2008) 15. : VHPOP: Versatile heuristic partial order planner. Journal of Artificial Intelligence Research 20(1), 405–430 (2003) Efficient Pairwise Classification Using Local Cross Off Strategy Mohammad Ali Bagheri1 , Qigang Gao1 , and Sergio Escalera2 1 Faculty of Computer Science, Dalhousie University, Halifax, Canada Computer Vision Center, Campus UAB, Edifici O, 08193, Bellaterra, Spain Dept.

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