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Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Wray Buntine,Marko Grobelnik,John Shawe-Taylor Conference proce

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Conference proceedings 2009in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learnin
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Are We There Yet?ranslation and speech recognition. As we celebrate the spectacular achievements of this line of research, we need to assess its full potential, its limitations and its position within the larger scheme of things. What are the next steps to take towards machine intelligence?
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Combining Instance-Based Learning and Logistic Regression for Multilabel Classification to capture interdependencies between labels and, moreover, to combine model-based and similarity-based inference for multilabel classification. As will be shown by experimental studies, our approach is able to improve predictive accuracy in terms of several evaluation criteria for multilabel prediction.
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On Structured Output Training: Hard Cases and an Efficient Alternativeivers, prediction of individual routes can be used for intelligent car sharing applications or help optimise a hybrid vehicle’s charge/discharge schedule. We show that state-of-the-art structured prediction algorithms cannot guarantee polynomial runtime for this output set of cyclic permutations.
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