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Titlebook: Algorithms in Ambient Intelligence; Wim F. J. Verhaegh,Emile Aarts,Jan Korst Book 2004 Springer Science+Business Media Dordrecht 2004 Audi

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Beispiele mit rein turbulentem Austausch, the study of programs that form hypotheses that are ‘probably approximately correct’(PAC-learning),with high probability. We also survey a number of meta-learning techniques such as bagging and adaptive boosting, which can improve the performance of machine learning algorithms substantially.
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https://doi.org/10.1007/978-3-663-06968-3lgorithm, respectively, and work on annotated training texts. The methods are applied to the Philips TABA corpus of train timetable enquiries, and the resulting error rates of the semantic tags are computed from a reference assignment.
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https://doi.org/10.1007/978-3-642-92237-4o/video..In this chapter we present the three algorithms behind Philips’ fingerprinting technology, i.e., the fingerprint extraction algorithms (both for audio and for video) and the database search algorithm.
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Exchange Clustering and Em Algorithm for Phrase Classification in Telephony Applicationslgorithm, respectively, and work on annotated training texts. The methods are applied to the Philips TABA corpus of train timetable enquiries, and the resulting error rates of the semantic tags are computed from a reference assignment.
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Algorithms for Audio and Video Fingerprintingo/video..In this chapter we present the three algorithms behind Philips’ fingerprinting technology, i.e., the fingerprint extraction algorithms (both for audio and for video) and the database search algorithm.
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Saving Energy in Portable Multimedia Storageeffort requests can be interleaved with real-time requests, in such a way that they interfere as little as possible with the energy saving strategies..We provide computational results to give an indication of the energy savings that can be expected from these strategies.
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