By Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)
This ebook constitutes the refereed court cases of the twentieth convention of the Canadian Society for Computational reviews of Intelligence, Canadian AI 2007, held in Montreal, Canada, in may perhaps 2007.
The forty six revised complete papers offered have been conscientiously reviewed and chosen from 260 submissions. The papers are geared up in topical part on brokers, bioinformatics, type, constraint delight, facts mining, wisdom illustration and reasoning, studying, typical language, and planning.
Read Online or Download Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Proceedings PDF
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Additional resources for Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Proceedings
Each user in the manipulated set was made to have the trust edges to all users in the set while some users in the original set were made to present trust to some of manipulated users. Through the prior experiment and previous research, we selected 50 as a neighborhood size and set it up in this experiment [1, 9]. In both cases of TCFMA + cosine-based and random model building, the average number of manipulated users accessed for building each user’s model was measured and the distortion of prediction occurring due to these data was compared by using Absolute Prediction Shift.
MIT Press (2005) 15. : Learning against opponents with bounded memory. In: Proceedings of the Nineteenth International Joint Conference on Artiﬁcial Intelligence (IJCAI’05). T. com Abstract. Real-time vehicle location information enables to facilitate more efficient decision-making in dynamic automotive shipment yard environment. This paper proposes a multiagent-based decentralized decision-making model for the vehicle deployment planning in a shipment yard. A multiagent architecture is designed to facilitate decentralized algorithms and coordinate different agents dynamically.
In Proc. of the DELOS-NSF Workshop on Personalization and Recommender Systems in Digital Libraries (2001) 7. : Analyzing Correlation between Trust and User Similarity in Online Communities. In Proc. of the 2nd Int. Conf. on Trust Management, LNCS, Vol. 2995 (2004) 251-265 8. : Trust-aware Collaborative Filtering for Recommender Systems. In Proc. of Int. Conf. on Cooperative Information Systems (2004) 9. : An Algorithmic Framework for Performing Collaborative Filtering. In Proc. of the 22nd ACM SIGIR Conf.
Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Proceedings by Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)