Download PDF by Evgeniy Gabrilovich (auth.), Yong Gao, Nathalie Japkowicz: Advances in Artificial Intelligence: 22nd Canadian

By Evgeniy Gabrilovich (auth.), Yong Gao, Nathalie Japkowicz (eds.)

ISBN-10: 3642018173

ISBN-13: 9783642018176

ISBN-10: 3642018181

ISBN-13: 9783642018183

This e-book constitutes the refereed lawsuits of the 22st convention of the Canadian Society for Computational experiences of Intelligence, Canadian AI 2009, held in Windsor, Canada, in may possibly 2008.

The 30 revised complete papers awarded including five revised brief papers and eight papers from the graduate pupil symposium have been conscientiously reviewed and chosen from seventy five submissions. The papers current unique top of the range study in all parts of man-made Intelligence and practice old AI suggestions to fashionable challenge domain names in addition to contemporary innovations to old challenge settings.

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Read or Download Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25-27, 2009 Proceedings PDF

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Additional info for Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25-27, 2009 Proceedings

Sample text

Their analysis was performed on quarterly and annual financial reports from three companies in the telecom industry. The results implied that some indication about the financial performance of the company can be gained from the textual component of the reports; however, it was also noted that the clusters from quantitative and qualitative analysis did not coincide. They explained this phenomenon by stating that the quantitative analysis reflects past performance and the text holds information about future performance and managerial expectations.

Similarly, Chen and Schumaker (2006) [3] compared three text processing representations combined with support vector machines to test which was the most reliable in predicting stock prices. They analyzed the representations based on bag-of-words, noun phrases and named entities, and all of the models produced better results than linear regression; however named entities proved to be the most robust[3]. Other intra-day predictions facilitated through text mining were done by Mittermayer (2004) [4], where he created NewsCATS— an automated system that could day-trade the major American stock indexes.

G. g. conform´ ement). ` Enhancing the Bilingual Concordancer TransSearch conforme ` a (45) conform´ ement ` a (29) a (21) ` dans (20) conforme aux (18) conforme (13) conform´ ement aux (13) conforme au (12) 31 conformes ` a (11) conform´ ement (9) , conform´ ement ` a (3) correspondant ` a (3) Fig. 1. g. conforme a ` and conformes a `). Since in TS3 we want to offer the user a list of retrieved translations for a query, strategies must be devised for overcoming alignment errors and delivering the most salient information to the user.

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Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25-27, 2009 Proceedings by Evgeniy Gabrilovich (auth.), Yong Gao, Nathalie Japkowicz (eds.)


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