Sentence examples similar to repeating algorithm for from inspiring English sources

A group of walkers traipsed through the streets in a pattern based on repeating algorithms.

The algorithm works by testing all possible paths ({mathcal {M}}) and selecting the path that maximizes a certain function T. We need to repeat the algorithm for different model orders and all defined factors.

We repeated the above algorithm for K values ranging from 5 to 15 in step 2, and chose the most parsimonious clustering that gave us a Davies-Bouldin index within 10% of the minimum value.

We describe in detail an algorithm for repeated grid-search V-fold cross-validation for parameter tuning in classification and regression, and we define a repeated nested cross-validation algorithm for model assessment.

This paper describes a utility-based on-line exploration algorithm for repeated tasks, which takes into account both the costs and potential benefits (over future task repetitions) of different exploratory actions.

The overall optimization strategy entails performing repeated runs of the algorithm for a fixed number of generations, then restarting the optimization with the run that produces the best result.

Algorithm 2 is the general algorithm for repeated stratified nested cross-validation.

The covering problem can be solved in a heuristic fashion through repeated calls of an algorithm for solving the partial covering problem.

Similarly, a network has a prohibited phenotype P with respect to a set of initial states if every subset S of regulation functions that has probability ≥α does not generate any trajectory that leads to P. A naïve way to test for a probabilistic phenotype would be to repeat the non-probabilistic algorithm for every set of regulation functions with probability >α.

The algorithm for repeats search, 'Repeat Find', is included to the UniPro uGENE as well as the visualization feature and 'ORF Find' option which were used to identify the putatively intact copies of LTR retrotransposons.

Condor-COPASI can repeat an optimization multiple times, using the same algorithm for each repeat, and from these repeats, determine the best objective value and associated parameter set.