Advances in Artificial Intelligence [electronic resource] : 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Toronto, ON, Canada, May 28-30, 2012, Proceedings / edited by Leila Kosseim, Diana Inkpen.
Contributor(s): Kosseim, Leila [editor.]
| Inkpen, Diana [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 7310Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012.Description: XVI, 398 p. 77 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642303531.Subject(s): Artificial intelligence | Natural language processing (Computer science) | Application software | Information storage and retrieval systems | Computer science | Data mining | Artificial Intelligence | Natural Language Processing (NLP) | Computer and Information Systems Applications | Information Storage and Retrieval | Theory of Computation | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Toronto, Canada, in May 2012. The 23 regular papers, 16 short papers, and 4 papers from the Graduate Student Symposium presented were carefully reviewed and selected for inclusion in this book. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.
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This book constitutes the refereed proceedings of the 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, held in Toronto, Canada, in May 2012. The 23 regular papers, 16 short papers, and 4 papers from the Graduate Student Symposium presented were carefully reviewed and selected for inclusion in this book. The papers cover a broad range of topics presenting original work in all areas of artificial intelligence, either theoretical or applied.
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