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Cambria, Erik

Proceedings of ELM-2016

Cambria, Erik - Proceedings of ELM-2016, ebook

230,65€

Ebook, PDF with Adobe DRM
ISBN: 9783319574219
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Table of contents

1. Earthen Archaeological Site Monitoring Data Analysis Using Kernel-based ELM and Non-uniform Sampling TFR
Yue Qi, Mingzhe Zhu, Xinliang Zhang, Fei Fu

2. A Multi-valued Neuron ELM with Complex-Valued Inputs for System Identification Using FRA
Francesco Grasso, Antonio Luchetta, Stefano Manetti

3. Quaternion Extreme Learning Machine
Hui Lv, Huisheng Zhang

4. Robotic Grasp Stability Analysis Using Extreme Learning Machine
Peng Bai, Huaping Liu, Fuchun Sun, Meng Gao

5. Extreme Learning Machine for Intent Classification of Web Data
Yogesh Parth, Wang Zhaoxia

6. Reinforcement Extreme Learning Machine for Mobile Robot Navigation
Hongjie Geng, Huaping Liu, Bowen Wang, Fuchun Sun

7. Detection of Cellular Spikes and Classification of Cells from Raw Nanoscale Biosensor Data
Muhammad Rizwan, Abdul Hafeez, Ali R. Butt, Samir M. Iqbal

8. Hot News Click Rate Prediction Based on Extreme Learning Machine and Grey Verhulst Model
Xu Jingting, Feng Jun, Sun Xia, Zhang Lei, Liu Xiaoning

9. Multiple Shadows Layered Cooperative Velocity Updating Particle Swarm Optimization
Hongbo Wang, Kezhen Wang, Xuyan Tu

10. Short Term Prediction of Continuous Time Series Based on Extreme Learning Machine
Hongbo Wang, Peng Song, Chengyao Wang, Xuyan Tu

11. Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation
Aapo Kalliola, Yoan Miche, Ian Oliver, Silke Holtmanns, Buse Atli, Amaury Lendasse, Kaj-Mikael Bjork, Anton Akusok, Tuomas Aura

12. Discovering Emergence and Bidding Behaviour in Competitive Electricity Market Using Agent-Based Simulation
Ly-Fie Sugianto, Zhigang Liao

13. Multi-kernel Transfer Extreme Learning Classification
Xiaodong Li, Weijie Mao, Wei Jiang, Ye Yao

14. Chinese Text Sentiment Classification Based on Extreme Learning Machine
Fangye Lin, Yuanlong Yu

15. Incremental ELMVIS for Unsupervised Learning
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse

16. Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values
Emil Eirola, Anton Akusok, Kaj-Mikael Björk, Hans Johnson, Amaury Lendasse

17. Deep-Learned and Hand-Crafted Features Fusion Network for Pedestrian Gender Recognition
Lei Cai, Jianqing Zhu, Huanqiang Zeng, Jing Chen, Canhui Cai

18. Facial Landmark Detection via ELM Feature Selection and Improved SDM
Peng Bian, Yi Jin, Jiuwen Cao

19. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification
Jie Du, Chi-Man Vong, Yajie Chang, Yang Jiao

20. An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining
Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang

21. Back Propagation Convex Extreme Learning Machine
Weidong Zou, Fenxi Yao, Baihai Zhang, Zixiao Guan

22. Data Fusion Using OPELM for Low-Cost Sensors in AUV
Jia Guo, Bo He, Pengfei Lv, Tianhong Yan, Amaury Lendasse

Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics)

Editor
 
 
 
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Series
Proceedings in Adaptation, Learning and Optimization
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783319574219
Printed ISBN
978-3-319-57420-2

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