Sentence examples for regularized learning from inspiring English sources

In this study, the effects of the thickness, tank diameter, and the length of weld lines on the construction cost of spherical storage tanks are investigated using NNs with Levenberg Marquardt and Bayesian regularized learning algorithms and the linear and the exponential regression models, both hybridized with a genetic algorithm.

In this case, we optimize rqs through using the Response Surface Technique (RST) on cross-validation data and thus can obtain a regularized multi-view learning machine.

The hybrid evolutionary Bayesian back-propagation (EBBP) neural network was used in this study and utilizes the genetic algorithms and gradient descent method to determine the optimal parameters within a Bayesian framework to regularize the complexity of learning and to statistically reflect the uncertainty in data.

In an effort to coherently capture the similarity between feature descriptors, we use multiclass support vector machines for 3D shape classification on mid-level features that are learned via graph regularized sparse coding.

A novel machine learning method sparse network regularized multiple non-negative matrix factorization (SNMNMF) was developed in this work to integrate three heterogeneous data sources.

Our solution to this issue was to regularize the Bayesian learning process using mutual information between datasets as a prior to upweight or downweight the total possible contribution of each dataset.

In this paper, we proposed a novel algorithm regularized minimum class variance extreme learning machine for language recognition.

Inspired by the excellent feature of ELM, in this paper, we propose a novel method called regularized minimum class variance extreme learning machine (RMCVELM) for language recognition.

A new method referred to as regularized minimum class variance extreme learning machine (RMCVELM) is proposed and used as classifier for language recognition.

Table 2 List of classifiers used in the study   Name Acronym Regularized regression classifiers Multi-task lasso LASSO   L 2,1 norm regularized with least squares loss L21   Trace norm regularized regression TRACE   Robust multi-task learning ROBUST   Robust multi-task feature learning RMTFL   Dirty multi-task learning DIRTY Multi-task feature learning Multi-task discriminant analysis MTDA.

This work points out the failure of these methods for predicting the regularization parameter when coping with the, apparently trivial and here introduced, regularized mean problem; this is the simplest form of Tikhonov regularization, that, in turn, is the primal form of the learning algorithm Regularized Least Squares.