Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016
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22

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3

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Published By Springer International Publishing

9783319574202, 9783319574219

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Discovering Emergence and Bidding Behaviour in Competitive Electricity Market Using Agent-Based Simulation

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_12 ◽

2017 ◽

pp. 145-158

Author(s):

Ly-Fie Sugianto ◽

Zhigang Liao

Keyword(s):

Electricity Market ◽

Agent Based Simulation ◽

Agent Based ◽

Bidding Behaviour

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Multi-kernel Transfer Extreme Learning Classification

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_13 ◽

2017 ◽

pp. 159-170

Author(s):

Xiaodong Li ◽

Weijie Mao ◽

Wei Jiang ◽

Ye Yao

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Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_16 ◽

2017 ◽

pp. 195-206 ◽

Author(s):

Emil Eirola ◽

Anton Akusok ◽

Kaj-Mikael Björk ◽

Hans Johnson ◽

Amaury Lendasse

Keyword(s):

Huntington's Disease ◽

Huntington’S Disease ◽

Extreme Learning Machine ◽

Missing Values ◽

Learning Machine

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Multiple Shadows Layered Cooperative Velocity Updating Particle Swarm Optimization

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_9 ◽

2017 ◽

pp. 99-112

Author(s):

Hongbo Wang ◽

Kezhen Wang ◽

Xuyan Tu

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization

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Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_19 ◽

2017 ◽

pp. 229-239 ◽

Author(s):

Jie Du ◽

Chi-Man Vong ◽

Yajie Chang ◽

Yang Jiao

Keyword(s):

Big Data ◽

Extreme Learning Machine ◽

Data Classification ◽

Under Sampling ◽

Big Data Classification ◽

Learning Machine

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Robotic Grasp Stability Analysis Using Extreme Learning Machine

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_4 ◽

2017 ◽

pp. 37-51 ◽

Author(s):

Peng Bai ◽

Huaping Liu ◽

Fuchun Sun ◽

Meng Gao

Keyword(s):

Stability Analysis ◽

Extreme Learning Machine ◽

Grasp Stability ◽

Learning Machine ◽

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Extreme Learning Machine for Intent Classification of Web Data

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_5 ◽

2017 ◽

pp. 53-60 ◽

Author(s):

Yogesh Parth ◽

Wang Zhaoxia

Keyword(s):

Extreme Learning Machine ◽

Web Data ◽

Learning Machine

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Facial Landmark Detection via ELM Feature Selection and Improved SDM

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_18 ◽

2017 ◽

pp. 217-228

Author(s):

Peng Bian ◽

Yi Jin ◽

Jiuwen Cao

Keyword(s):

Feature Selection ◽

Landmark Detection ◽

Facial Landmark Detection ◽

Facial Landmark

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Detection of Cellular Spikes and Classification of Cells from Raw Nanoscale Biosensor Data

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_7 ◽

2017 ◽

pp. 75-87

Author(s):

Muhammad Rizwan ◽

Abdul Hafeez ◽

Ali R. Butt ◽

Samir M. Iqbal

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Hot News Click Rate Prediction Based on Extreme Learning Machine and Grey Verhulst Model

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_8 ◽

2017 ◽

pp. 89-97

Author(s):

Xu Jingting ◽

Feng Jun ◽

Sun Xia ◽

Zhang Lei ◽

Liu Xiaoning

Keyword(s):

Extreme Learning Machine ◽

Rate Prediction ◽

Grey Verhulst Model ◽

Verhulst Model ◽

Learning Machine

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