Results 51 to 60 of about 6,969,735 (365)
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
Journal of Big DataIn the context of high-dimensional credit card fraud data, researchers and practitioners commonly utilize feature selection techniques to enhance the performance of fraud detection models.
Huanjing Wang +3 more
semanticscholar +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 +3 more
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
Feature selection for functional data [PDF]
Journal of Multivariate Analysis, 2016 22 pages, 4 ...
Fraiman, Ricardo +2 more
openaire +3 more sources
Neighborhood Ranking-Based Feature Selection
IEEE AccessThis 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
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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 +3 more
doaj +1 more source
Sustainability, 2020 Software Defined Networking (SDN) offers several advantages such as manageability, scaling, and improved performance. However, SDN involves specific security problems, especially if its controller is defenseless against Distributed Denial of Service ...
Hüseyin Polat +2 more
semanticscholar +1 more source
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach [PDF]
, 2017 Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual object tracking.
Castellani, Umberto +3 more
core +3 more sources
A Feature Selection Algorithm Performance Metric for Comparative Analysis
Algorithms, 2021 This study presents a novel performance metric for feature selection algorithms that is unbiased and can be used for comparative analysis across feature selection problems.
Werner Mostert +2 more
doaj +1 more source
A scalable saliency-based Feature selection method with instance level information [PDF]
, 2019 Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge extraction.
Alonso-Betanzos, Amparo +3 more
core +2 more sources