Titlebook: Recent Advances in Robot Learning; Machine Learning Judy A. Franklin,Tom M. Mitchell,Sebastian Thrun Book 1996 Kluwer Academic Publishers 1

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0893-3405 en prohibits thecollection of large amounts of training data. ..Most roboticsystems are real-time systems. Decisions must be made within criticalor practical ti978-1-4613-8064-1978-1-4613-0471-5Series ISSN 0893-3405

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C. Baroglio,A. Giordana,M. Kaiser,M. Nuttin,R. Piolahis book the exceptional role of Leonhard Euler in the history of science will be analyzed and emphasized, especially demonstrated for his fundamental cont- butions to physics. Although Euler is famous as the leading mathematician of the 18th century his contributions to physics are as important and

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Marcos Salganicoff,Lyle H. Ungar,Ruzena Bajcsyhis book the exceptional role of Leonhard Euler in the history of science will be analyzed and emphasized, especially demonstrated for his fundamental cont- butions to physics. Although Euler is famous as the leading mathematician of the 18th century his contributions to physics are as important and

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Volker Klingspor,Katharina J. Morik,Anke D. Riegerhis book the exceptional role of Leonhard Euler in the history of science will be analyzed and emphasized, especially demonstrated for his fundamental cont- butions to physics. Although Euler is famous as the leading mathematician of the 18th century his contributions to physics are as important and

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his book the exceptional role of Leonhard Euler in the history of science will be analyzed and emphasized, especially demonstrated for his fundamental cont- butions to physics. Although Euler is famous as the leading mathematician of the 18th century his contributions to physics are as important and

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“If I Like BLANK, What Else Will I Like?”: Analyzing a Human Recommendation Community on Redditde a more detailed analysis of the prevalent music requests and the example items used to ask for these recommendations. Finally, we compare these human recommendations to algorithmic recommendations to better characterize their differences. We conclude by discussing the implications of our work for recommender systems design.

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