Advances in Artificial Intelligence: 18th Conference of the by Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.) PDF

By Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)

ISBN-10: 3540258647

ISBN-13: 9783540258643

ISBN-10: 3540319522

ISBN-13: 9783540319528

The 18th convention of the Canadian Society for the Computational research of Intelligence (CSCSI) persisted the good fortune of its predecessors. This set of - pers re?ects the range of the Canadian AI neighborhood and its overseas companions. AI 2005 attracted a hundred thirty five high quality submissions: sixty four from Canada and seventy one from all over the world. of those, 8 have been written in French. All submitted papers have been completely reviewed by way of not less than 3 participants of this system Committee. a complete of 30 contributions, permitted as lengthy papers, and 19 as brief papers are integrated during this quantity. We invited 3 extraordinary researchers to offer talks approximately their present learn pursuits: Eric Brill from Microsoft examine, Craig Boutilier from the collage of Toronto, and Henry Krautz from the collage of Washington. The association of any such profitable convention bene?ted from the coll- oration of a lot of people. prime, we want to specific our apprec- tion to this system Committee participants and exterior referees, who supplied well timed and signi?cant studies. to control the submission and reviewing technique we used the Paperdyne approach, which was once built via Dirk Peters. We owe distinct due to Kellogg sales space and Tricia d’Entremont for dealing with the neighborhood arrangementsandregistration.WealsothankBruceSpencerandmembersofthe CSCSI government for all their e?orts in making AI 2005 a winning conference.

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Advances in Artificial Intelligence: 18th Conference of the by Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.) PDF

The 18th convention of the Canadian Society for the Computational examine of Intelligence (CSCSI) persevered the good fortune of its predecessors. This set of - pers re? ects the variety of the Canadian AI neighborhood and its foreign companions. AI 2005 attracted a hundred thirty five fine quality submissions: sixty four from Canada and seventy one from worldwide.

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Additional resources for Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings

Sample text

Even though there are several trials suggesting algorithms of distributed data mining, few efforts have made on the definition of the system performance. It is very important to define the performance for the further development of distributed data mining. 1 Introduction Computational efficiency and scalability is a very critical issue in data mining [1] since the amount of data is rapidly increasing in the real world. Also, it is very important in data mining to deal with huge amounts of data located at different sites since these data are naturally located at geographically distributed sites, and some of them are relevant to each other.

Solving a DCSP is actually a process of minimizing the value of degreeU nsat for each agent. When all agents’ degreeU nsat = 0, all constraints are satisfied and the problem is solved. We developed a dynamic agent ordering (DAO) algorithm by using this technique [10], where Agents autonomously order themselves to re-instantiate their variables. This improves the search efficiency and requires less memory usage than other state-of-the-art approaches. We now extend this technique to measure the degree of relaxation of a DOCSP.

In Proceedings of the Third International Conference on Multiagent Systems (ICMAS-98), pages 372–379, 1998. 10. Lingzhong Zhou, John Thornton, and Abdul Sattar. Dynamic agent ordering in distributed constraint satisfaction problems. In Proceedings of the 16th Australian Joint Conference on Artificial Intelligence, AI-2003, Perth, 2003. com Abstract. This paper presents a distributed approach to build decision trees in a lock step manner with each node proposing an attribute on which to split. A central mediator chooses the attribute, among the candidates, with the highest information gain.

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Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings by Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)


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