Results 21 to 30 of about 703,161 (279)

Semi-supervised Partial Multi-label Feature Selection [PDF]

Jisuanji kexue
Multi-label feature selection is a technique for reducing feature dimensionality by filtering out a subset of features with distinguishing power from the original feature space.However,the traditional method faces the problem of labeling accuracy ...
WU You, WANG Jing, LI Peipei, HU Xuegang
doaj   +1 more source

CBFS: high performance feature selection algorithm based on feature clearness. [PDF]

PLoS ONE, 2012
BACKGROUND: The goal of feature selection is to select useful features and simultaneously exclude garbage features from a given dataset for classification purposes.
Minseok Seo, Sejong Oh
doaj   +1 more source

Structure Preserving Non-negative Feature Self-Representation for Unsupervised Feature Selection

IEEE Access, 2017
Inspired by the importance of self-representation and structure-preserving ability of features, in this paper, we propose a novel unsupervised feature selection algorithm named structure-preserving non-negative feature self-representation (SPNFSR).
Wei Zhou, Chengdong Wu, Yugen Yi, Guoliang Luo   +3 more
doaj   +1 more source

Supervised Feature Selection With a Stratified Feature Weighting Method

IEEE Access, 2018
Feature selection has been a powerful tool to handle high-dimensional data. Most of these methods are biased toward the highest rank features which may be highly correlated with each other.
Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu   +4 more
doaj   +1 more source

Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection

Entropy, 2022
Gradient Boosting Machines (GBM) are among the go-to algorithms on tabular data, which produce state-of-the-art results in many prediction tasks. Despite its popularity, the GBM framework suffers from a fundamental flaw in its base learners. Specifically,
Afek Ilay Adler, Amichai Painsky
doaj   +1 more source

Biological Invasion-Based Feature Selection Algorithm [PDF]

Jisuanji gongcheng
In nature, biological invasions have attracted attention because of their rapid development and significant ecological impacts. The introduction of populations to search for suitable habitats often has inherent logic, and communication between ...
ZHANG Jian, ZHANG Bo
doaj   +1 more source

A feature selection method with feature ranking using genetic programming

Connection Science, 2022
Feature selection is a data processing method which aims to select effective feature subsets from original features. Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their ...
Guopeng Liu, Jianbin Ma, Tongle Hu, Xiaoying Gao   +3 more
doaj   +1 more source

Neighborhood Ranking-Based Feature Selection

IEEE Access
This article aims to integrate ${k}$ -NN regression, false-nearest neighborhood (FNN), and trustworthiness and continuity (T&C) neighborhood-based measures into an efficient and robust feature selection method to support the identification of ...
Adam Ipkovich, Janos Abonyi
doaj   +1 more source

Analysis and Evaluation of Feature Selection and Feature Extraction Methods

International Journal of Computational Intelligence Systems, 2023
Hand gestures are widely used in human-to-human and human-to-machine communication. Therefore, hand gesture recognition is a topic of great interest. Hand gesture recognition is closely related to pattern recognition, where overfitting can occur when ...
Rubén E. Nogales, Marco E. Benalcázar
doaj   +1 more source

Stability of feature selection algorithm: A review

Journal of King Saud University: Computer and Information Sciences, 2022
Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features.
Utkarsh Mahadeo Khaire, R. Dhanalakshmi
doaj   +1 more source