[HTML][HTML] An efficient model selection for linear discriminant function-based recursive feature elimination
X Ding, F Yang, F Ma - Journal of Biomedical Informatics, 2022 - Elsevier
Abstract Model selection is an important issue in support vector machine-based recursive
feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE …
feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE …
An efficient primal simplex method for solving large-scale support vector machines
B Brahmi - Neurocomputing, 2024 - Elsevier
In the last two decades, active set methods for training support vector machines (SVMs)
have received a lot of attention due to their robustness and have shown excellent results for …
have received a lot of attention due to their robustness and have shown excellent results for …
Encoding learning network combined with feature similarity constraints for human action recognition
C Wu, Y Gao, G Li, C Shi - Multimedia Tools and Applications, 2024 - Springer
Extreme learning machine (ELM) is a fast and efficient classifier. Due to the inability to
process descriptor-level features extracted from video sequences, the networks based on …
process descriptor-level features extracted from video sequences, the networks based on …
A unified multi-class feature selection framework for microarray data
X Ding, F Yang, F Ma, S Chen - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
In feature selection research, simultaneous multi-class feature selection technologies are
popular because they simultaneously select informative features for all classes. Recursive …
popular because they simultaneously select informative features for all classes. Recursive …