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Stochastic Configuration Networks: Fundamentals and Algorithms
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2017
10 February 2017
Dianhui Wang
Ming Li
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Papers citing
"Stochastic Configuration Networks: Fundamentals and Algorithms"
10 / 60 papers shown
Randomized Mixture Models for Probability Density Approximation and Estimation
Information Sciences (Inf. Sci.), 2018
Hien Nguyen
Dianhui Wang
Geoffrey J. McLachlan
137
10
0
23 Apr 2018
Augmented Artificial Intelligence: a Conceptual Framework
Alexander N. Gorban
Bogdan Grechuk
I. Tyukin
104
13
0
06 Feb 2018
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban
I. Tyukin
168
167
0
10 Jan 2018
A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes
Grzegorz Dudek
66
49
0
13 Oct 2017
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
Giannis Bekoulis
Johannes Deleu
T. Demeester
Chris Develder
154
30
0
27 Sep 2017
A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+
Pengbo Zhang
Zhi-Xin Yang
178
101
0
28 Aug 2017
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics
Dianhui Wang
Caihao Cui
BDL
150
116
0
02 Jul 2017
Parsimonious Random Vector Functional Link Network for Data Streams
Mahardhika Pratama
Plamen Angelov
E. Lughofer
195
49
0
10 Apr 2017
Deep Stochastic Configuration Networks with Universal Approximation Property
Dianhui Wang
Ming Li
BDL
149
6
0
18 Feb 2017
Robust Stochastic Configuration Networks with Kernel Density Estimation
Dianhui Wang
Ming Li
48
0
0
15 Feb 2017
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