Non-iterative and fast deep learning: multilayer extreme learning machines
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Publication:2005317
DOI10.1016/j.jfranklin.2020.04.033zbMath1491.68187OpenAlexW3040832198MaRDI QIDQ2005317
Wendong Xiao, Jie Zhang, Yanjiao Li, Zhi-Qiang Zhang
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://eprints.whiterose.ac.uk/165049/1/Revised%20Manuscript.pdf
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- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Ensemble extreme learning machine and sparse representation classification
- Trends in extreme learning machines: a review
- Auto-association by multilayer perceptrons and singular value decomposition
- Landmark recognition with sparse representation classification and extreme learning machine
- Bayesian network based extreme learning machine for subjectivity detection
- Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy
- Deep extreme learning machine and its application in EEG classification
- Weakly paired multimodal fusion using multilayer extreme learning machine
- Randomized algorithms for nonlinear system identification with deep learning modification
- Reducing the Dimensionality of Data with Neural Networks
- Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
- A Fast Learning Algorithm for Deep Belief Nets
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