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Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)'s Advances in Artificial Intelligence: 18th Conference of the 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 learn of Intelligence (CSCSI) persisted the luck of its predecessors. This set of - pers re?ects the variety of the Canadian AI group and its overseas companions. AI 2005 attracted a hundred thirty five fine quality submissions: sixty four from Canada and seventy one from world wide. of those, 8 have been written in French. All submitted papers have been completely reviewed through at the least 3 individuals of this system Committee. a complete of 30 contributions, authorized as lengthy papers, and 19 as brief papers are incorporated during this quantity. We invited 3 special researchers to offer talks approximately their present study pursuits: Eric Brill from Microsoft learn, Craig Boutilier from the college of Toronto, and Henry Krautz from the college of Washington. The association of the sort of winning convention bene?ted from the coll- oration of lots of individuals. leading, we want to specific our apprec- tion to this system Committee contributors and exterior referees, who supplied well timed and signi?cant stories. to regulate the submission and reviewing strategy we used the Paperdyne procedure, which used to be built via Dirk Peters. We owe targeted 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 profitable conference.

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Extra 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

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Cohen through the proxy. Now assume that in response to a request from an agent, the proxy can impose a lock for a given time period [ta , tb ], for its user and can ensure that no new locks will be provided to other requesting agents within the specified timeframe, until the lock is released. In addition, for any agent that requires a lock before ta , the proxy will refuse to grant a lock1 . Any agent requiring a lock after tb , will be allowed to, but with a warning that there may be additional bother generated from earlier interactions with that user by the first agent.

Tcom : Time of the communication between each agent and the mediator. p : The number of records selected for analysis from database. k : The number of fields selected for analysis from database. n : The number of agents participated in mining process. ttr : Transmission Time (sec/bit) rc : Compressed rate for transmitted data. tcpu : CPU processing time for a component. The entropy computation time of SDM is as follows: RTsdm = Tsdm = k ⋅ p 2 ⋅ tcpu (1) On the other hand, since the given table is vertically partitioned into the same number of agents, the entropy computation time of DDM is as follows: Tddm = k ⋅ p 2 ⋅ tcpu (2) n When considering the communication time ( Tcom ), the transmission data amount becomes p ⋅ rc bits for the communication between each agent and the mediator.

Since AOWC cannot recognize an optimal solution, we allow it to repeat this process until a solution is found that equals the optimal solution from our own approach (in terms of a count of the number of constraints relaxed). Table 1 shows the experimental results comparing AOWC with our new approach, where A is the number of agents, V is the total number of variables and C is the total number of constraints in a problem. All data points are averaged over 100 trials. 001), with the final threshold (global degreeU nsat) shown in the table.

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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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