Sentence examples for sample selection algorithms from inspiring English sources

Proposed modifications to the classic subset simulation method include the implementation of advanced Markov Chain processes to combine the benefits of a Markov Chain regeneration process, a Delayed Rejection and Adaptive sample selection algorithms and a Componentwise sampling model.

More precisely, we considered each individual cancer type separately and we proceeded as follows: (1) we randomly shuffled the 'control' and 'tumor' labels for all the samples in the data set, (2) we applied our sample selection algorithm with parameters (α C = 0.05, α T = 0.25) to the randomly shuffled data, and (3) we counted the number of selected features.

The existing typical sample-selection algorithm is used for comparison.

A new reference value (YR -based sample-selection algorithm that assembles a dependent value (YR -baseduniform distribution is presented to assure the representalgorithm

Thus, in this section our aim is to develop a sample set selection algorithm which inherits the key advantageous aspects of the genetic algorithm-based method, while attaining higher interpretability of action.

In Section 2.2, we provide a heuristic sample ordering selection algorithm based on correlation score to cope with the order selection problem that arises when using mutant fitness data.

Its representativeness and algorithms of sample selection are permanently verified by experts from the Institut National de la Statistique et des Etudes Economiques (INSEE) and EUROSTAT, and regular audits are performed.

Fig. 1 Pair-wise chromosomal mating as implemented in the proposed genetic algorithm-based sample selection.

To maintain population-based sampling, a random selection algorithm accounting for household members' age and sex selected one adult to survey.

A ten-variable instrument was constructed by applying stepwise variable selection algorithms to the training samples, and its predictive performance was evaluated on the validation samples.

A software used a random algorithm to extract a sample selection of followers and two classes of parameters established whether the user's behaviors is most likely to be human or carried out by a bot.