Buscar
Mostrando ítems 21-30 de 30560
Identifying plant species using architectural features in leaf microscopy images
(2016-01-01)
This work proposes an analytical method to identify plant species based on microscopy images of the midrib cross-section of leaves. Unlike previous shape-based approaches based on the individual shape of external contours ...
Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery
(Nature Publishing Group, 2017-05-25)
Quantitative structure–activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a ...
Dimensionality Reduction for Automatic Pattern Recognition on BiosignalsReducción de dimensión para el reconocimiento automático de patrones sobre bioseñales
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
Optimizing Feature Selection through Binary Charged System Search
(Springer, 2013-01-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
Enhancing big data feature selection using a hybrid correlation-based feature selection
This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ...
Feature selection through gravitational search algorithm
(IEEE, 2011-01-01)
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the ...
Feature selection through gravitational search algorithm
(IEEE, 2011-01-01)
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the ...
Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech
The automatic analysis of speech to detect affective states may improve the way users interact with electronic devices. However, the analysis only at the acoustic level could be not enough to determine the emotion of a ...