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We propose a sketch-based sampling algorithm, which effectively exploits the data sparsity. Sampling methods have become popular in large-scale data mining and information retrieval, where high data s...
We introduce a path following algorithm for L1-regularized generalized linear models. The L 1-regularization procedure is useful especially because it, in effect, selects variables according to the am...
In ecological modeling of the habitat of a species, it can be prohibitively expensive to determine species absence.Presence-only data consist of a sample of locations with observed presences and a sep...
A new algorithm for computing the multivariate Fa\`a di Bruno's formula is provided. We use a symbolic approach based on the classical umbral calculus that turns the computation of the multivariate Fa...
We adapt the Kolmogorov's normalization algorithm (which is the key element of the original proof scheme of the KAM theorem) to the construction of a suitable normal form related to an invariant ellip...
In the manufacturing industry, to produce the best quality product, it is important to de ne several levels of inputs. The Taguchi method is proposed for the solution of this problem and is widely use...

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