Download e-book for iPad: Advances in Artificial Intelligence: 23rd Canadian by Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)

By Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)

ISBN-10: 3642130593

ISBN-13: 9783642130595

This booklet constitutes the refereed lawsuits of the twenty third convention on synthetic Intelligence, Canadian AI 2010, held in Ottawa, Canada, in May/June 2010. The 22 revised complete papers awarded including 26 revised brief papers, 12 papers from the graduate scholar symposium and the abstracts of three keynote displays have been rigorously reviewed and chosen from ninety submissions. The papers are geared up in topical sections on textual content type; textual content summarization and IR; reasoning and e-commerce; probabilistic desktop studying; neural networks and swarm optimization; laptop studying and information mining; usual language processing; textual content analytics; reasoning and making plans; e-commerce; semantic net; computing device studying; and information mining.

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Extra info for Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings

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3 Flame Annotated Data In this study, we consider a message as a flame if either the main intention is attack (as we described above) or it contains abusive or hostile words, phrases or language, considering the desired tolerance margin. We used two different sources of messages. The first set of data was provided by the NSM (Natural Semantic Module) company log files. This group of data contains 372 sentences in which the company’s users ask for some kind of information, services, or fun activities, in an interactive manner.

A common word in email spam filter word list) in its header. On the other hand, misclassifying a spam email to non-spam also brings unnecessary costs and waste of resources. A. Farzindar and V. ): Canadian AI 2010, LNAI 6085, pp. 28–39, 2010. c Springer-Verlag Berlin Heidelberg 2010 A Three-Way Decision Approach to Email Spam Filtering 29 In this paper, we introduce a three-way decision approach to spam filtering based on Bayesian decision theory, that is, to accept, reject, or further-exam an incoming email.

Improving Multiclass Text Classification with the Support Vector Machine. Massachusetts Institute of Technology, AI Memo, AIM-2001-026 (2001) 11. : Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement. , Shawe-Taylor, J. ) ECML PKDD 2009, Part II. LNCS, vol. 5782, pp. 458–472. Springer, Heidelberg (2009) 12. : Improved Output Coding for Classification Using Continuous Relaxtion. In: Neural Information Processing Systems (NIPS 2000), pp. 437–443 (2000) 13. : Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes.

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Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings by Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)

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