Articles with "selected features" as a keyword



Photo from wikipedia

Sparse group selection and analysis of function‐related residue for protein‐state recognition

Sign Up to like & get
recommendations!
Published in 2022 at "Journal of Computational Chemistry"

DOI: 10.1002/jcc.26937

Abstract: Machine learning methods have helped to advance wide range of scientific and technological field in recent years, including computational chemistry. As the chemical systems could become complex with high dimension, feature selection could be critical… read more here.

Keywords: selected features; chemistry; feature; sparse group ... See more keywords
Photo from wikipedia

Assessment of electromyograms using genetic algorithm and artificial neural networks

Sign Up to like & get
recommendations!
Published in 2021 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-018-0174-0

Abstract: The recorded electrical activity associated with muscles and nerves are called electromyograms (EMG) and are useful for examination of disorders in the muscle and nerve systems. The efficient discrimination of normal and abnormal EMG signals… read more here.

Keywords: genetic algorithm; selected features; artificial neural; using genetic ... See more keywords

An Approach for Optimizing Ensemble Intrusion Detection Systems

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3046246

Abstract: Intrusion Detection System is yet an interesting research topic. With a very large amount of traffic in real-time networks, feature selection techniques that are effectively able to find important and relevant features are required. Hence,… read more here.

Keywords: selected features; ensemble idss; feature selection; intrusion detection ... See more keywords
Photo from wikipedia

HDSI: High dimensional selection with interactions algorithm on feature selection and testing

Sign Up to like & get
recommendations!
Published in 2021 at "PLoS ONE"

DOI: 10.1371/journal.pone.0246159

Abstract: Feature selection on high dimensional data along with the interaction effects is a critical challenge for classical statistical learning techniques. Existing feature selection algorithms such as random LASSO leverages LASSO capability to handle high dimensional… read more here.

Keywords: high dimensional; feature selection; selected features; selection interactions ... See more keywords