Sentence examples similar to an ensemble of algorithms from inspiring English sources

In this paper, an ensemble of evolution algorithm based on self-adaptive learning population search techniques (EEA-SLPS) is presented to overcome these defects on the numerical optimization problems.

Hu et al. [46] proposed an ensemble of multiple data-driven algorithms to achieve a performance better than each individual algorithm.

In terms of the accuracy of the results, the Ensemble of algorithms achieved an accuracy of 95.3% and the stand alone classifiers achieved an accuracy of 92.7%.

We present the development of an ensemble of ligand-based machine learning algorithms for the early recognition of BCRP substrates, from a database of 262 substrates and nonsubstrates compiled from the literature.

This algorithm builds an ensemble of classifiers by utilizing a specified base learning algorithm to successive obtained training sets that are formed by either resampling from the original training set or reweighting the original training set according to a set of weights maintained over the training set [ 20].

Since gene expression is an inherently stochastic process, the simulation component of simulated annealing optimization is conducted using an accurate multiscale simulation algorithm to calculate an ensemble of network trajectories at each iteration of the simulated annealing algorithm.

The random forest (RF) algorithm [ 12] is a classification algorithm that uses an ensemble of tree-structured classifiers, which has been used successfully in many applications for data classification and achieves high performance.

Thus, the novelty of our approach is that after feature extraction using PCA, a DT algorithm generates an ensemble of linear models, which through the GA is transformed into a model with best fit.

The RFE algorithm is an ensemble of decision trees creating variation by assigning each tree a subset of features randomly chosen where Principle Component Analysis (PCA) is applied to each subset before each tree model is built.

We used the random forest classification algorithm with an ensemble of 10 decision trees.

The random forests algorithm builds an ensemble of decision trees, where each tree is built on bootstrap samples of training data with a randomly selected subset of factors.