Minimum error entropy criterion‐based randomised autoencoder
Abstract The extreme learning machine‐based autoencoder (ELM‐AE) has attracted a lot of attention due to its fast learning speed and promising representation capability. However, the existing ELM‐AE algorithms only reconstruct the original input and generally ignore the probability distribution of t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-12-01
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| Series: | Cognitive Computation and Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ccs2.12030 |