Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization
Latest Publications

TOTAL DOCUMENTS

36

(FIVE YEARS 0)

H-INDEX

4

(FIVE YEARS 0)

Published By Springer International Publishing

9783319140629, 9783319140636

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Explicit Computation of Input Weights in Extreme Learning Machines

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_4 ◽

2015 ◽

pp. 41-49 ◽

Author(s):

Jonathan Tapson ◽

Philip de Chazal ◽

André van Schaik

Keyword(s):

Explicit Computation ◽

Extreme Learning Machines ◽

Learning Machines

Download Full-text

Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_21 ◽

2015 ◽

pp. 237-244 ◽

Author(s):

Pengbo Zhang ◽

Zhixin Yang

Keyword(s):

Extreme Learning Machine ◽

Learning Machine ◽

Download Full-text

A Novel Bio-inspired Image Recognition Network with Extreme Learning Machine

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_12 ◽

2015 ◽

pp. 131-139

Author(s):

Lin Zhang ◽

Yu Zhang ◽

Ping Li

Keyword(s):

Extreme Learning Machine ◽

Image Recognition ◽

Learning Machine

Download Full-text

RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_24 ◽

2015 ◽

pp. 273-292

Author(s):

Bo Han ◽

Bo He ◽

Mengmeng Ma ◽

Tingting Sun ◽

Tianhong Yan ◽

...

Keyword(s):

Extreme Learning Machines ◽

Recursive Model ◽

Learning Machines ◽

Model Based ◽

Selective Ensemble

Download Full-text

Identifying Indistinguishable Classes in Multi-class Classification Data Sets Using ELM

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_34 ◽

2015 ◽

pp. 407-415

Author(s):

Felis Dwiyasa ◽

Meng-Hiot Lim

Keyword(s):

Data Sets ◽

Multi Class Classification

Download Full-text

ROS-ELM: A Robust Online Sequential Extreme Learning Machine for Big Data Analytics

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_28 ◽

2015 ◽

pp. 325-344 ◽

Author(s):

Yang Liu ◽

Bo He ◽

Diya Dong ◽

Yue Shen ◽

Tianhong Yan ◽

...

Keyword(s):

Big Data ◽

Extreme Learning Machine ◽

Data Analytics ◽

Big Data Analytics ◽

Learning Machine

Download Full-text

An Online Multiple-Model Approach to Univariate Time-Series Prediction

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_19 ◽

2015 ◽

pp. 215-224 ◽

Author(s):

Koshy George ◽

Sachin Prabhu ◽

Prabhanjan Mutalik

Keyword(s):

Time Series ◽

Time Series Prediction ◽

Multiple Model ◽

Univariate Time Series ◽

Download Full-text

Quasi-Linear Extreme Learning Machine Model Based Nonlinear System Identification

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_11 ◽

2015 ◽

pp. 121-130

Author(s):

Dazi Li ◽

Qianwen Xie ◽

Qibing Jin

Keyword(s):

System Identification ◽

Nonlinear System ◽

Extreme Learning Machine ◽

Nonlinear System Identification ◽

Machine Model ◽

Model Based ◽

Learning Machine

Download Full-text

Online Sequential Extreme Learning Machine with New Weight-Setting Strategy for Nonstationary Time Series Prediction

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_23 ◽

2015 ◽

pp. 263-272 ◽

Author(s):

Jinwan Wang ◽

Wentao Mao ◽

Liyun Wang ◽

Mei Tian

Keyword(s):

Time Series ◽

Extreme Learning Machine ◽

Time Series Prediction ◽

Nonstationary Time Series ◽

Learning Machine

Download Full-text

Subspace Detection on Concept Drifting Data Stream

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_5 ◽

2015 ◽

pp. 51-59 ◽

Author(s):

Lin Feng ◽

Shenglan Liu ◽

Yao Xiao ◽

Jing Wang

Keyword(s):

Data Stream ◽

Subspace Detection

Download Full-text