Results 21 to 30 of about 7,765,049 (335)
Efficient Multi-Label Feature Selection Using Entropy-Based Label Selection
Entropy, 2016 Multi-label feature selection is designed to select a subset of features according to their importance to multiple labels. This task can be achieved by ranking the dependencies of features and selecting the features with the highest rankings.
Jaesung Lee, Dae-Won Kim
doaj +1 more source
Kurtosis-Based Feature Selection Method using Symmetric Uncertainty to Predict the Air Quality Index [PDF]
Computer Science Journal of Moldova, 2022 Feature selection is vital in data pre-processing in machine learning, and it is prominent in datasets with many features. Feature selection analyses the relevant, irrelevant, and redundant features in the dataset.
Usharani Bhimavarapu, M. Sreedevi
doaj +1 more source
Optimization for Gene Selection and Cancer Classification
Proceedings, 2021 Recently, gene selection has played an important role in cancer diagnosis and classification. In this study, it was studied to select high descriptive genes for use in cancer diagnosis in order to develop a classification analysis for cancer diagnosis ...
Hülya Başeğmez +2 more
doaj +1 more source
mixOmics: An R package for ‘omics feature selection and multiple data integration
bioRxiv, 2017 The advent of high throughput technologies has led to a wealth of publicly available ‘omics data coming from different sources, such as transcriptomics, proteomics, metabolomics.
Florian Rohart +3 more
semanticscholar +1 more source
Multiclass feature selection with metaheuristic optimization algorithms: a review
Neural computing & applications (Print), 2022 Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are binary.
Olatunji Akinola +4 more
semanticscholar +1 more source
International Journal of Islamic Business and Economics (IJIBEC), 2017 Credit is one of the modern economic behaviors. In practice, credit can be either borrowing a certain amount of money or purchasing goods with a gradual payment process and within an agreed timeframe.
Ivandari Ivandari +3 more
doaj +1 more source
Dynamic Feature Selection for Clustering High Dimensional Data Streams
IEEE Access, 2019 Change in a data stream can occur at the concept level and at the feature level. Change at the feature level can occur if new, additional features appear in the stream or if the importance and relevance of a feature changes as the stream progresses. This
Conor Fahy, Shengxiang Yang
doaj +1 more source
A review of feature selection techniques in bioinformatics
Bioinform., 2007 Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific applications in ...
Yvan Saeys +2 more
semanticscholar +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 +3 more
doaj +1 more source
EFSIS: Ensemble Feature Selection Integrating Stability [PDF]
, 2018 Ensemble learning that can be used to combine the predictions from multiple learners has been widely applied in pattern recognition, and has been reported to be more robust and accurate than the individual learners.
Jonassen, Inge, Zhang, Xiaokang
core +2 more sources