Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Feature selection has been an important issue in machine learning and data mining, and is
unavoidable when confronting with high‐dimensional data. With the advent of multilabel …

Feature selection (FS) is an important data processing method in pattern recognition and
data mining. Due to not considering characteristics of the FS problem itself, traditional …

Feature selection is an important task for data analysis and information retrieval processing,
pattern classification systems, and data mining applications. It reduces the number of …

In this paper we present a perception system for agriculture robotics that enables an
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …

Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

The main objective of feature selection process consists of investigating the optimal feature
subset leading to better classification quality while spending less computational cost …

Recently mutual information based feature selection criteria have gained popularity for their
superior performances in different applications of pattern recognition and machine learning …

Manufacturing plays an important role since they are among the largest energy consumers
in modern societies. With the enhancement of environmental protection and a severe …

In a DNA microarray dataset, gene expression data often has a huge number of features
(which are referred to as genes) versus a small size of samples. With the development of …