DropELM: Fast neural network regularization with Dropout and DropConnect

Author:

Iosifidis Alexandros,Tefas Anastasios,Pitas Ioannis

Funder

European Union Seventh Framework Programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference51 articles.

1. G. Huang, Q. Zhu, C. Siew, Extreme learning machine: a new learning scheme of feedforward neural networks, in: IEEE International Joint Conference on Neural Networks, vol. 2, 2004, pp. 985–990.

2. Learning representations by back-propagating errors;Rumelhart;Nature,1986

3. The sample complexity of pattern classification with neural networks;Bartlett;IEEE Trans. Inf. Theory,1998

4. Universal approximation of extreme learning machine with adaptive growth of hidden nodes;Zhang;IEEE Trans. Neural Netw. Learn. Syst.,2012

5. Universal approximation using incremental constructive feedforward networks with random hidden nodes;Huang;IEEE Trans. Neural Netw.,2006

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