Distributed Online Ensemble Learning Based on Orthogonal Transformation
A new distributed online learning scheme for classifying data captured from distributed data sources is proposed in this paper. The scheme consists of multiple distributed learners that independently classify different streams of data. Each local learner uses an ensemble classifier trained by shared...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8918296/ |