Titlebook: Discovery Science; 15th International C Jean-Gabriel Ganascia,Philippe Lenca,Jean-Marc Pet Conference proceedings 2012 Springer-Verlag Berl

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Das Verfahren der Gew?sserstrukturkartierungquent itemsets have been proposed. These exhaustive algorithms, however, all suffer from the pattern explosion problem. Depending on the minimal support threshold, even for moderately sized databases, millions of patterns may be generated. Although this problem is by now well recognized in te patter

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Strukturpolitik Aufgabe der achtziger Jahree price for this promise is the computational cost .(..) for computing the eigen-decomposition of the graph Laplacian matrix - so far a necessary subroutine for spectral clustering. In this paper we bypass the eigen-decomposition of the original Laplacian matrix by leveraging the recently introduced

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Instrumente der Strukturpolitiknctions. In a first time, we show that the Gibbs estimator is able to predict as well as the best predictor in a given family for a wide set of loss functions. In particular, using the quantile loss function of [1], this allows to build confidence intervals. We apply these results to the problem of

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Wolfgang Stegmüller,Matthias Varga von Kibédg the indices of nucleotide sequences as labels of leaves with the nucleotides occurring in a position, we formulate a . between two positions in nucleotide sequences as the LCA-preserving distance between the trimmed phylogenetic trees according to nucleotides occurring in the positions. Finally, w

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