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Titlebook: Advances in Artificial Intelligence; 21st Conference of t Sabine Bergler Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008

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發(fā)表于 2025-3-21 19:13:56 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence
期刊簡稱21st Conference of t
影響因子2023Sabine Bergler
視頻videohttp://file.papertrans.cn/147/146728/146728.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Artificial Intelligence; 21st Conference of t Sabine Bergler Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008
影響因子This book constitutes the refereed proceedings of the 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.
Pindex Conference proceedings 2008
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板凳
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Imtiaz A. Hussain,Jessica Tartila Sumapaper, we present an algorithm for approximate planning in PSRs, based on an approach similar to point-based value iteration in POMDPs. The point-based approach turns out to be a natural match for the PSR state representation. We present empirical results showing that our approach is either comparable or better than POMDP point-based planning.
地板
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Sony-Projekt Metreon in San Francisco,ial active learning algorithms. In this paper, we propose a novel (and easy to implement) active learning algorithm having a rigorous performance guarantee (i.e., a valid risk bound) and that performs very well in comparison with some widely-used active learning algorithms.
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https://doi.org/10.1007/978-3-8349-6453-3ting them by their local accuracy. Experimental results carried out on standard benchmark data sets with Neural Networks, SVMs, Naive Bayes, C4.5 Decision Trees and Decision Stumps as the base classifier, show that local bagging yields significant improvements in these practical applications and is found more stable than Adaboost.
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Sony-Projekt Aqua City in Tokyo,troduce reputation to be a viable selection criterion. We establish a generic reputation framework that would allow us to test alternate formalizations of reputation models. We report on the generic framework design and three initial reputation models with their respective comparative performance and potential to improve the intervention outcome.
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0302-9743 and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.978-3-540-68821-1978-3-540-68825-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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