Related references
Note: Only part of the references are listed.Universal Approximation with Convex Optimization: Gimmick or Reality?
Jose C. Principe et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2015)
Local Receptive Fields Based Extreme Learning Machine
Guang-Bin Huang et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2015)
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
Guang-Bin Huang
COGNITIVE COMPUTATION (2014)
Sparse Bayesian Extreme Learning Machine for Multi-classification
Jiahua Luo et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
Sparse Extreme Learning Machine for Classification
Zuo Bai et al.
IEEE TRANSACTIONS ON CYBERNETICS (2014)
Semi-Supervised and Unsupervised Extreme Learning Machines
Gao Huang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2014)
The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-Off
Omri Barak et al.
JOURNAL OF NEUROSCIENCE (2013)
The importance of mixed selectivity in complex cognitive tasks
Mattia Rigotti et al.
NATURE (2013)
The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Bernard Widrow et al.
NEURAL NETWORKS (2013)
Feature selection for nonlinear models with extreme learning machines
Frenay Benoit et al.
NEUROCOMPUTING (2013)
Efficient Digital Implementation of Extreme Learning Machines for Classification
Sergio Decherchi et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2012)
Extreme Learning Machine for Regression and Multiclass Classification
Guang-Bin Huang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2012)
A Large-Scale Model of the Functioning Brain
Chris Eliasmith et al.
SCIENCE (2012)
Distinct representations of olfactory information in different cortical centres
Dara L. Sosulski et al.
NATURE (2011)
OP-ELM: Optimally Pruned Extreme Learning Machine
Yoan Miche et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Reply to Comments on The Extreme Learning Machine
Guang-Bin Huang
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
Comments on The Extreme Learning Machine
Lipo P. Wang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
Incremental extreme learning machine with fully complex hidden nodes
Guang-Bin Huang et al.
NEUROCOMPUTING (2008)
Enhanced random search based incremental extreme learning machine
Guang-Bin Huang et al.
NEUROCOMPUTING (2008)
Convex incremental extreme learning machine
Guang-Bin Huang et al.
NEUROCOMPUTING (2007)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)
Universal approximation using incremental constructive feedforward networks with random hidden nodes
Guang-Bin Huang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
Can threshold networks be trained directly?
GB Huang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2006)
Fully complex extreme learning machine
MB Li et al.
NEUROCOMPUTING (2005)
Smooth function approximation using neural networks
S Ferrari et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)
Approximation by fully complex multilayer Perceptrons
T Kim et al.
NEURAL COMPUTATION (2003)
Share Paper
