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

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

This e-book constitutes the refereed complaints of the 22st convention of the Canadian Society for Computational stories of Intelligence, Canadian AI 2009, held in Windsor, Canada, in might 2008.

The 30 revised complete papers awarded including five revised brief papers and eight papers from the graduate scholar symposium have been rigorously reviewed and chosen from seventy five submissions. The papers current unique high quality learn in all components of synthetic Intelligence and follow ancient AI options to fashionable challenge domain names in addition to contemporary innovations to ancient challenge settings.

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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

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NG }2 such that (vi , vj ) ∈ EG and each pair (k < l) ∈ {1, . . , nH }2 such that (wk , wl ) ∈ / EH the clauses ¬bik ∨ ¬bjl and ¬bil ∨ ¬bjk , are added to make sure that no edge of the subgraph is mapped into a non-edge of the graph. 1 When no confusion arises we will use SRSGI to refer to satisfiable random (n, m, p, q) SGI. Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism 19 Therefore, the direct conversion of an SGI creates a SAT instance which has nG nH variables, nG clauses of size nH , containing only positive literals and nG nH (nG + nH − 2)/2 + mG(nH (nH − 1) − 2mH ) 2-clauses with negative literals.

At the very least, HMM models [14], for which Viterbi alignments can be computed efficiently, should be considered. The alignment method used in current phrasebased SMT is another alternative we are considering. Acknowledgements This research is being funded by an NSERC grant. The authors wish to thank Elliott Macklovitch for his contribution to this work. References 1. : Transsearch: What are translators looking for? In: 18th Conference of the Association for Machine Translation in the Americas (AMTA), Waikiki, Hawai’i, USA, pp.

A systematic comparison of various statistical alignment models. Computational Linguistics 29(1), 19–51 (2003) 12. : Statistical Methods for Rates and Proportions, 3rd edn. Wiley Interscience, Hoboken (2003) 13. : A compact data structure for searchable translation memories. In: 10th European Conference of the Association for Machine Translation (EAMT), Budapest, Hungary, pp. 59–65 (2005) 14. : HMM-based word alignment in statistical translation. In: 16th conference on Computational linguistics, Copenhagen, Denmark, pp.

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