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Titlebook: User Modeling, Adaptation, and Personalization; 18th International C Paul Bra,Alfred Kobsa,David Chin Conference proceedings 2010 Springer-

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Ryan S. J. d. Baker,Albert T. Corbett,Sujith M. Gowda,Angela Z. Wagner,Benjamin A. MacLaren,Linda R.ral scales, they tend to address either structure (e.g. vegetation-type distribution) or function (e.g. trace-gas fluxes) and rarely link the two. They lack integration as a result of several gaps, the most significant of which may be knowledge of dynamic carbon allocation processes and changing lan
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Tobias Ley,Barbara Kump,Cornelia Gerdenitschass, on unbalanced biomedical classification problems is evaluated in different settings of the case-base configuration. Comparison with other classification methods showed the effectiveness of such an approach to unbalanced classification problems and, hence, to medical diagnostic classification.
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Justin Tang,Donald J. Pattersonelatively easy to follow while others in this chapter are more difficult. Both sets are important, even though it is not the purpose of this chapter to turn the reader into an instant expert in any of the fields. Rather, the goal is to create awareness of concepts that are important to successful ma
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Shawn R. Wolfe,Yi Zhang market shares. The data can be analyzed in conjunction with U.S. Census and panel data that record consumer demographic information, preferences, brand recognition, and purchase behavior to guide decisions about product characteristics, positioning, pricing, and promotion. Scanning data covers sale
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Interweaving Public User Profiles on the Webfile generation, disclosure of new facets about users, higher level of self-information induced by the profiles, and higher precision for predicting tag-based profiles to solve the cold start problem.
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