Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings

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Gaussian Process Multi-task Learning Using Joint Feature Selectionin an optimization problem which is solved using a block co-ordinate descent algorithm. Experimental results on synthetic and real world multi-task learning data sets demonstrate that the flexibility of the proposed model is useful in getting better generalization performance.

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MOTIF

Evidence-Based Clustering for Scalable Inference in Markov Logic MLN having, say, . objects by an MLN having k objects such that . < < . and the results obtained by running potentially much faster inference on the smaller MLN are as close as possible to the ones obtained by running inference on the larger MLN. We achieve this by finding clusters of “similar” gro

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Tanwistha Saha,Huzefa Rangwala,Carlotta Domeniconiar assertion in the mainstream media by that time, was at least somewhat inaccurate. Indeed, doing archival research on the media hype surrounding what was known as “lesbian chic” in the early 1990s as a grounding for my research showed me that the types of articles discussing lesbian chic in the 19

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