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Titlebook: Research and Development in Intelligent Systems XXVIII; Incorporating Applic Max Bramer,Miltos Petridis,Lars Nolle Conference proceedings 2

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書目名稱Research and Development in Intelligent Systems XXVIII
副標(biāo)題Incorporating Applic
編輯Max Bramer,Miltos Petridis,Lars Nolle
視頻videohttp://file.papertrans.cn/828/827883/827883.mp4
圖書封面Titlebook: Research and Development in Intelligent Systems XXVIII; Incorporating Applic Max Bramer,Miltos Petridis,Lars Nolle Conference proceedings 2
描述.The papers in this volume are the refereed papers presented at AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2011 in both the technical and the application streams..They present new and innovative developments and applications, divided into technical stream sections on Planning, Evolutionary Algorithms, Speech and Vision, and Machine Learning, followed by application stream sections on Knowledge Discovery and Data Mining, Machine Learning, Evolutionary Algorithms and AI in Action. The volume also includes the text of short papers presented as posters at the conference..This is the twenty-eighth volume in the .Research and Development .in Intelligent Systems. series, which also incorporates the nineteenth volume in the .App.lications and Innovations in Intelligent Systems. series. These series are essential reading for those who wish to keep up to date with developments in this important field..
出版日期Conference proceedings 2011
關(guān)鍵詞Applications; Bramer; Development; Intelligent; Research
版次1
doihttps://doi.org/10.1007/978-1-4471-2318-7
isbn_softcover978-1-4471-2317-0
isbn_ebook978-1-4471-2318-7
copyrightSpringer-Verlag London Limited 2011
The information of publication is updating

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https://doi.org/10.1007/978-1-4471-2318-7Applications; Bramer; Development; Intelligent; Research
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Investigation into Computer vision methods to extract information for Context based image retrieval to segment key parts of the images. The overall texture contained within a set images was analyzed, with it features being reduced by canonical variants. Classical classifiers and self organizing maps were used to analyze the textures, and showed very similar confusion.
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Choosing a Case Base Maintenance Algorithm using a Meta-Case Basetions of case bases that have undergone maintenance—to predict the best maintenance algorithm. For describing case bases, we use measures of dataset complexity. We present the results of experiments that show the classifier can come close to selecting the best possible maintenance algorithms.
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A Hybrid Parallel Genetic Algorithm for the Winner Determination Problem in Combinatorial Auctionse, subject to the constraint that each item can be allocated at most once. This paper tries to propose a hybrid parallel genetic algorithm for the winner determination problem.Experiments on realistic data sets of various sizes are performed to show and compare the effectiveness of our approach.
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ques and Applications of Artificial Intelligence, held in Cambridge in December 2011 in both the technical and the application streams..They present new and innovative developments and applications, divided into technical stream sections on Planning, Evolutionary Algorithms, Speech and Vision, and M
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