Approximate kernel extreme learning machine for large scale data classification

Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas

doi:10.1016/j.neucom.2016.09.023

ScienceGate Book Chapters

JOURNAL ARTICLE

Approximate kernel extreme learning machine for large scale data classification

Alexandros Iosifidis Anastasios Tefas Ioannis Pitas

Year: 2016 Journal: Neurocomputing Vol: 219 Pages: 210-220 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2016.09.023

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Generalization Kernel (algebra) Machine learning Artificial intelligence Extreme learning machine Scale (ratio) Tree kernel Kernel method Exploit Artificial neural network Feature (linguistics) Radial basis function kernel Support vector machine Mathematics

Metrics

Cited By

5.92

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

MicroRNA in disease regulation

Life Sciences → Biochemistry, Genetics and Molecular Biology → Cancer Research

Approximate kernel extreme learning machine for large scale data classification

Metrics

Citation History

Topics

Related Documents

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine

Spectra data classification with kernel extreme learning machine

Quick extreme learning machine for large-scale classification

Keynote 4: “Large-scale machine learning and extreme classification”

Multi-scale wavelet kernel extreme learning machine for EEG feature classification