Fully Bayesian analysis of the relevance vector machine classification for imbalanced data problem
Abstract Relevance Vector Machine (RVM) is a supervised learning algorithm extended from Support Vector Machine based on the Bayesian sparsity model. Relevance Vector Machine classification suffers from theoretical limitations and computational inefficiency mainly because there is no closed‐form sol...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-03-01
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| Series: | CAAI Transactions on Intelligence Technology |
| Online Access: | https://doi.org/10.1049/cit2.12111 |