Extreme Kernel Machine
V Karlsson, E Rosvall - 2017 - diva-portal.org
The purpose of this report is to examine the combination of an Extreme Learning Machine
(ELM) with the Kernel Method. Kernels lies at the core of Support Vector Machines success …
(ELM) with the Kernel Method. Kernels lies at the core of Support Vector Machines success …
Robust activation function and its application: Semi-supervised kernel extreme learning method
Semi-supervised learning is a hot topic in the field of pattern recognition, this paper analyzes
an effective classification algorithm–Extreme Learning Machine (ELM). ELM has been …
an effective classification algorithm–Extreme Learning Machine (ELM). ELM has been …
On the kernel extreme learning machine classifier
In this paper, we discuss the connection of the kernel versions of the ELM classifier with
infinite Single-hidden Layer Feedforward Neural networks and show that the original ELM …
infinite Single-hidden Layer Feedforward Neural networks and show that the original ELM …
Deterministic Multi-kernel based extreme learning machine for pattern classification
B Ahuja, VP Vishwakarma - Expert Systems with Applications, 2021 - Elsevier
The Extreme learning machine (ELM) designed by Huang et al. is proved to be a fast and
good classifier over a decade, but existing ELM is non-deterministic in nature as well as …
good classifier over a decade, but existing ELM is non-deterministic in nature as well as …
[引用][C] Correction to: Deep kernel learning in extreme learning machines
Correction to: Deep kernel learning in extreme learning machines Page 1 Vol.:(0123456789)
1 3 Pattern Analysis and Applications (2021) 24:21 https://doi.org/10.1007/s10044-020-00944-y …
1 3 Pattern Analysis and Applications (2021) 24:21 https://doi.org/10.1007/s10044-020-00944-y …
Deep kernel learning in extreme learning machines
Emergence of extreme learning machine as a breakneck learning algorithm has marked its
prominence in solitary hidden layer feed-forward networks. Kernel-based extreme learning …
prominence in solitary hidden layer feed-forward networks. Kernel-based extreme learning …
Multiple-kernel-learning-based extreme learning machine for classification design
X Li, W Mao, W Jiang - Neural Computing and Applications, 2016 - Springer
The extreme learning machine (ELM) is a new method for using single hidden layer feed-
forward networks with a much simpler training method. While conventional kernel-based …
forward networks with a much simpler training method. While conventional kernel-based …
Optimization-based extreme learning machine with multi-kernel learning approach for classification
W Huang, F Sun - 2014 22nd International Conference on …, 2014 - ieeexplore.ieee.org
The optimization method based extreme learning machine (optimization-based ELM) is
generalized from single-hidden-layer feed-forward neural networks (SLFNs) by making use …
generalized from single-hidden-layer feed-forward neural networks (SLFNs) by making use …
Mexican hat wavelet kernel ELM for multiclass classification
J Wang, YF Song, TL Ma - Computational intelligence and …, 2017 - Wiley Online Library
Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is
widely used in classification problems. To some extent, it solves the existing problems of the …
widely used in classification problems. To some extent, it solves the existing problems of the …
A wavelet extreme learning machine
S Ding, J Zhang, X Xu, Y Zhang - Neural Computing and Applications, 2016 - Springer
Extreme learning machine (ELM) has been widely used in various fields to overcome the
problem of low training speed of the conventional neural network. Kernel extreme learning …
problem of low training speed of the conventional neural network. Kernel extreme learning …