Proceedings of ELM2019. (2020)
- Record Type:
- Book
- Title:
- Proceedings of ELM2019. (2020)
- Main Title:
- Proceedings of ELM2019
- Further Information:
- Note: Jiuwen Cao, Chi Man Vong, Yoan Miche, Amaury Lendasse, editors.
- Other Names:
- Cao, Jiuwen
Vong, Chi Man
Miche, Yoan
Lendasse, Amaury
International Conference on Extreme Learning Machine - Contents:
- Evolutionary Extreme Learning Machine Based Weighted Fuzzy-rough Nearest-neighbour Algorithm.-NNRW-based algorithm selection for software model checking -- An extreme learning machine method for diagnosis of patellofemoral pain syndrome -- Extreme Learning Machines for Signature Verification.-Website Classification from Webpage Renders -- ELM Algorithms Optimized by WOA for Motor Imagery Classification -- The Octonion Extreme Learning Machine -- Scikit-ELM: an Extreme Learning Machine toolbox for dynamic and scalable learning -- High-performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders -- Validating Untrained Human Annotations using Extreme Learning Machines -- ELM Feature Selection and SOM Data Visualization for Nursing Survey Dataset.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2021
- Extent:
- 1 online resource (182 pages)
- Subjects:
- 006.3
Artificial intelligence -- Congresses
Computational intelligence -- Congresses
Artificial intelligence
Computational intelligence
Electronic books
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783030589899
- Related ISBNs:
- 9783030589882
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.551859
- Ingest File:
- 03_170.xml