variables computed for the observations in the bootstrap sample are used as additional predictors for a classification tree. Two …

The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence … and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is … initial distribution strongly influences the classification results referring to two proteins. …

the classification task of data mining where prior outliers preprocessing is necessary. …

. It is likely that the use of such classification method may help both in deepening the knowledge of a market structure …

We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time … the classification performance of our method expressed as the F-measure substantially exceeds the odds of a uniform random … process with three outcomes, proving that extraction of deterministic patterns for trend classification, and hence market …