Machine learning for transportation research and applications. (2023)
- Record Type:
- Book
- Title:
- Machine learning for transportation research and applications. (2023)
- Main Title:
- Machine learning for transportation research and applications
- Further Information:
- Note: Yinhai Wang, Zhiyong Cui, Ruimin Ke.
- Authors:
- Wang, Yinhai
Cui, Zhiyong
Ke, Ruimin - Contents:
- Part One: Overview 1. General Introduction and Overview 2. Fundamental Mathematics 3. Machine Learning Basics Part Two: Methodologies and Applications 4. Classical ML Methods 5. Convolutional Neural Network 6. Graph Neural Network 7. Sequence Modeling 8. Probabilistic Models 9. Reinforcement Learning 10. Generative Models 11. Meta/Transfer Learning Part Three: Future Research and Applications The Future of Transportation and AI
- Publisher Details:
- Amsterdam : Elsevier
- Publication Date:
- 2023
- Extent:
- 1 online resource (275 pages)
- Subjects:
- 388.0285631
Transportation -- Data processing
Machine learning - Languages:
- English
- ISBNs:
- 9780323996808
- Related ISBNs:
- 9780323961264
- Notes:
- Note: Description based on CIP data; resource not viewed.
- 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.773141
- Ingest File:
- 19_019.xml