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

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書目名稱Discovery Science影響因子(影響力)




書目名稱Discovery Science影響因子(影響力)學(xué)科排名




書目名稱Discovery Science網(wǎng)絡(luò)公開度




書目名稱Discovery Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Discovery Science被引頻次




書目名稱Discovery Science被引頻次學(xué)科排名




書目名稱Discovery Science年度引用




書目名稱Discovery Science年度引用學(xué)科排名




書目名稱Discovery Science讀者反饋




書目名稱Discovery Science讀者反饋學(xué)科排名

不如屎殼郎

Recent Developments in Pattern Miningquent 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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stratum-corneum

Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solverse 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

COMA

Prediction of Quantiles by Statistical Learning and Application to GDP Forecastingnctions. 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

Robust

Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Llgorithm over a space of simple closed-form formulas that are used to rank actions. We formalize the search for a high-performance policy as a multi-armed bandit problem where each arm corresponds to a candidate policy canonically represented by its shortest formula-based representation. Experiments

Robust

Towards Finding Relational Redescriptionstional dataset. By extending redescription mining beyond propositional and real-valued attributes, it provides a powerful tool to match different relational descriptions of the same concept. As a first step towards solving this general task, we introduce an efficient algorithm that mines one descrip

CRP743

自愛

A Trim Distance between Positions in Nucleotide Sequencesg 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

gastritis

Data Squashing for HSV Subimages by an Autonomous Mobile Robotakes during a navigation of dozens of minutes. The subimages are managed according to a similarity measure between a pair of subimages, which is based on a method for quantizing HSV colors. The data index structure has been inspired by the CF tree of BIRCH, which is an early work in data squashing,