Sentence examples for modeling and regularization from inspiring English sources

The statistical methods are based on mixture modeling and regularization.

It combines the spatial distance from SA and SASA with the mixture modeling and regularization from Nearest Shrunken Centroids (Tibshirani et al., 2003).

The Mumford-Shah model [2] is a classical variational segmentation method, which contains a data-fidelity term, regularization on the model, and regularization on the partitioning.

In this paper, we combine the idea of linear Markov model and regularization.

The user can also estimate the predicted value of a new sample in the model and regularization parameters in rCCA can be tuned using cross-validation.

A major cause of unreliable models is excessive model complexity, and regularization methods aim to improve the predictive performance by adequately constraining model complexity.

Similarly, the predictive engine that links stimuli features to brain signal is best chosen amongst machine learning tools, that balance modeling flexibility and regularization, such as a naive Bayes predictor [ 12], sparse [ 13] or ridge [ 14] regression.

Above SH degrees 12 or 13 the power spectra of the secular variation model diverges and regularization is required.

We propose a fully Bayesian approach that allows for global recovery of the stochastic solutions, in both spatial and random domains, by coupling Bayesian model uncertainty and regularization regression methods.

We report further practical considerations in Additional file 1. Figure 5 a depicts trade-off between the model fit and regularization penalty for the candidates in the biomass batch growth (BBG) case study.

Figure 10 shows the denoised results of our model and TV regularization for a mixed step image comprised of monotonic steps and extremal steps.