Sentence examples for by a learning algorithm from inspiring English sources

The ordered collection of all features used by a learning algorithm is its feature set.

The functionality of the MLP topology is determined by a learning algorithm, the back propagation (BP) [38], which is based on the method of steepest descent [39].

In this paper, we propose a control strategy where two control laws, one for the throttle and one for the brake, are computed simultaneously to optimize a certain tracking criterion by a learning algorithm.

A learning process was assessed in [14], where the search range of the current PU is determined by a learning algorithm following different search patterns for each particular established search range.

In this paper we present a novel approach for computer-aided detection which faces the class imbalance with a cascade of boosting classifiers where each node is trained by a learning algorithm based on ranking instead of classification error.

The desired motion is generated in an empirical learning process by a learning algorithm and an intelligent structure, in which the learning algorithm adjusts the coordination levels of some primitive motions in order to generate the desired motion.

The SUs can be scheduled to access the selected channel for the data transmission or harvest energy by designing a learning algorithm [24].

In this paper, an architecture of fuzzy neural networks is proposed to find a real root of fuzzy polynomials (if exists) by introducing a learning algorithm.

In the learning phase a model that represents the best distribution of the involved codewords in each category of scenes was built by using a learning algorithm based on Latent Dirichlet Allocation [35].

In this work, an architecture of fuzzy neural networks is also proposed to find a real root of a system of fuzzy polynomials (if exists) by introducing a learning algorithm.

This can be realized by using a learning algorithm to associate the "predictiveness strength" of a network with the assessment of the accuracy of the learning algorithm trained on the network itself.