Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Annalisa Appice,Pedro Pereira Rodrigues,Carlos Soa Conference p

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Machine Learning and Knowledge Discovery in Databases978-3-319-23525-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond cus is on the computational aspects of the theory and studying the computational complexity and approximability of many problems related to generalized matrix factorizations. The results immediately apply to a large number of data mining problems, and hopefully allow generalizing future results and algorithms, as well.

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Sinus-Rhythm

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Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithmsifs underlying the kernel predictor. We demonstrate the efficacy of our approach through a series of experiments on synthetic and real data, including problems from handwritten digit recognition and a large-scale . splice site data set from the domain of computational biology.

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