IEEE - Institute of Electrical and Electronics Engineers, Inc. - Building Deep Random Ferns Without Backpropagation

Author(s): Sangwon Kim ; Byoung Chul Ko
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 2020
Volume: 8
Page(s): 8,533 - 8,542
ISSN (Electronic): 2169-3536
DOI: 10.1109/ACCESS.2020.2964842
Regular:

Randomized sampling-based ensemble learning is emerging as a new alternative to deep neural networks (DNNs) because it supports diversity and locality and does not require backpropagation in the... View More

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