Sentence examples for stepwise iteration from inspiring English sources

Then, the value in the last period was calculated by a simple recursive equation with the proposed stepwise iteration method and the value function was fitted with a linear regression model.

In this study, we proposed a stochastic optimization model for hydropower generation reservoirs, in which 1) the transition probability matrix was calculated based on copula functions; and 2) the value function of the last period was calculated by stepwise iteration.

For example, if daily absolute humidity exhibited the most significant C. gattii association, weekly or monthly absolute humidity was not tested in the next stepwise iteration.

In the first rounds of backward stepwise iterations, the introduction of population density heavily decreased the strength of the association with dioxin exposure (results not shown).

A Petri Net is a formal mathematical modeling language used to describe stepwise processes that include choice, iteration, and concurrent execution.

This process is analogous to forward stepwise regression, where at each iteration, the variant with the strongest association is selected to enter the model and then marginal statistical scores are re-computed for the remaining variants condition on the ones that have been selected.

A predictive model was fit and cross-validated (10 fold, 1000 iterations) via forward stepwise logistic regression.

The stepwise variable selection procedure (with iterations between the forward and backward steps) was applied to obtain the final regression model.

For each algorithm, identifiers from each dataset were grouped into several combinations and matched in a stepwise deterministic strategy, using multiple iterations.

Fundamentally, MFS is a backward stepwise elimination [ 36]: For each iteration, we calculated the starting MCC value of the gene signature; Next, for each feature in the given gene signature, MFS calculated a new MCC value without the feature.

The model was derived using a backward elimination stepwise method whereby at each model iteration, variables with a statistical significance of >0.2 were removed, and the model re-run containing the remaining variables.