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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 ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
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 in-viable for a ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
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 in-viable for a ...
Visualization and categorization of ecological acoustic events based on discriminant features
(2021-01-01)
Although sound classification in soundscape studies are generally performed by experts, the large growth of acoustic data presents a major challenge for performing such task. At the same time, the identification of more ...
Automatic Feature Scaling and Selection for Support Vector Machine Classi cation with Functional Data
(Springer, 2020)
Functional Data Analysis (FDA) has become a very important eld
in recent years due to its wide range of applications. However, there are several
real-life applications in which hybrid functional data appear, i.e., data ...
Feature selection for Support Vector Machines via Mixed Integer Linear Programming
(Elsevier, 2014)
The performance of classification methods, such as Support Vector Machines, depends
heavily on the proper choice of the feature set used to construct the classifier. Feature
selection is an NP-hard problem that has been ...
Gender Classification from NIR Images by Using Quadrature Encoding Filters of the Most Relevant Features
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the past few years, accuracy in determining gender from iris images has increased significantly, approaching levels that make novel applications of this biometric technology feasible. In this paper, we report the gender ...
Wavelet-based features selected with Paraconsistent Feature Engineering successfully classify events in low-voltage grids
(2021-01-01)
Energy quality, either in centralized or distributed generation, is directly affected by events in electrical lines. Consequently, the precise identification of those issues is of paramount importance, where the features ...
Redução de dimensionalidade usando agrupamento e discretização ponderada para a recuperação de imagens por conteúdo
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2012-11-19)
This work proposes two new techniques of feature vector pre-processing to improve CBIR and image classification systems: a method of feature transformation based on the k-means clustering approach (Feature Transformation ...