Selection of informative genes from high-dimensional cancerous data employing an improvised meta-heuristic algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-021-00593-y
Abstract: Identification of the most prominent genes with high classification accuracy in the high-dimensional cancerous data has remained an emerging challenge for machine learning researchers. The selection of informative genes is a non-deterministic polynomial-time (NP-Hard) issue.… read more here.
Keywords: kelm; dimensional cancerous; cancerous data; informative genes ... See more keywords
Prediction of ultra-short-term wind power based on BBO-KELM method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/1.5113555
Abstract: For ultrashort-term wind power prediction, an optimized extreme learning machine method based on biogeography-based optimization (BBO-KELM) is proposed. The kernel extreme learning machine (KELM) method only uses the kernel function to represent the unknown nonlinear… read more here.
Keywords: kelm method; kelm; method; bbo kelm ... See more keywords
A New Kernel Extreme Learning Machine Framework for Somatization Disorder Diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2900985
Abstract: In this paper, we present a novel predictive model based on the kernel extreme learning machine (KELM) to predict the somatization disorder. Since the classification performance of KELM is largely affected by its two parameters,… read more here.
Keywords: model based; model; kelm; somatization disorder ... See more keywords
A Hyperspectral Image Classification Method Using Multifeature Vectors and Optimized KELM
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3059451
Abstract: To improve the accuracy and generalization ability of hyperspectral image classification, a feature extraction method integrating principal component analysis (PCA) and local binary pattern (LBP) is developed for hyperspectral images in this article. The PCA… read more here.
Keywords: kelm; hyperspectral image; method; image classification ... See more keywords