Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification-Reference-Cited by-同舟云学术

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Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification

Published:2021-12 Issue: Volume:185 Page:115591
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Qiude,Xiong Qingyu^ORCID,Ji Shengfen,Yu Yang^ORCID,Wu Chao,Gao Min

Funder

National Key Research and Development Program of China

Science and Technology Major Project of Guangxi

National Natural Science Foundation of China

Chongqing Science and Technology Commission

Guizhou Medical University

Guizhou Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. An optimization model for clustering categorical data streams with drifting concepts;Bai;IEEE Transactions on Knowledge and Data Engineering,2016

2. Sparse extreme learning machine for classification;Bai;IEEE Transactions on Cybernetics,2014

3. Us and them: identifying cyber hate on Twitter across multiple protected characteristics;Burnap;EPJ Data Science,2016

4. Concept drift robust adaptive novelty detection for data streams;Cejnek;Neurocomputing,2018

5. Similarity encoding for learning with dirty categorical variables;Cerda;Machine Learning,2018

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