Grafted and vanishing random subspaces
Sign Up to like & getrecommendations! Published in 2022 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-01029-0
Abstract: The random subspace method (RSM) is an ensemble procedure in which each constituent learner is constructed using a randomly chosen subset of the data features. Regression trees are ideal candidate learners in RSM ensembles. By… read more here.
Keywords: vanishing random; feature; random subspace; feature subsets ... See more keywords
Differential Evolution With Duplication Analysis for Feature Selection in Classification.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3213236
Abstract: By selecting a small subset of relevant features, feature selection can reduce the dimensionality of the problem while maintaining or increasing the discriminating ability of the data. However, many existing feature selection approaches ignore the… read more here.
Keywords: classification; selection; feature; differential evolution ... See more keywords
Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.880997
Abstract: Neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease, and many other disease types, cause cognitive dysfunctions such as dementia via the progressive loss of structure or function of the body’s neurons. However, the etiology of… read more here.
Keywords: machine; feature; microrna; feature subsets ... See more keywords