Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Ulf Brefeld,Elisa Fromont,Céline Robardet Conference proceeding

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Stochastic One-Sided Full-Information Banditreward from an unknown distribution for arm . while obtaining reward feedback for all arms .. One-sided full information bandit can model the online repeated second-price auctions, where the auctioneer could select the reserved price in each round and the bidders only reveal their bids when their bi

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A Reduction of Label Ranking to Multiclass Classificationsent a framework for label ranking using a decomposition into a set of .. Conceptually, our approach can be seen as a generalization of pairwise preference learning. In contrast to the latter, it allows for controlling the granularity of the decomposition, varying between binary preferences and comp

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Learning to Calibrate and Rerank Multi-label Predictionsrovides a well-calibrated confidence (probability) to indicate the likelihood of the predicted set being correct; for example, an application may automate high-confidence predictions while manually verifying low-confidence predictions. The simplest multi-label classifier, called Binary Relevance (BR

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Denis Steckelmacher,Hélène Plisnier,Diederik M. Roijers,Ann Nowédem Inhaber — meist durch Geburt — die vollen Rechte und Pflichten, z.B. nach dem Grundgesetz der Bundesrepublik Deutschland die Grund- und Menschenrechte, das Wahlrecht, das Widerstandsrecht, das permanente Aufenthaltsrecht, die Pflicht zum Wehrdienst für M?nner. Ausl?nder, d.h. Bürger anderer Staa