Machine Learning

11 Open Access Books

178 Authors and Editors

288 Web of Science Citations

349 Dimensions Citations

Most cited chapters in this category

Most downloaded chapters in this category in last 30 days

Chapter title
1. Hardware Accelerator Design for Machine Learning

By Li Du and Yuan Du

Part of book: Machine Learning - Advanced Techniques and Emerging Applications

2. Emergence of Intelligence through Reinforcement Learning with a Neural Network

By Katsunari Shibata

Part of book: Advances in Reinforcement Learning

3. Regression Models to Predict Air Pollution from Affordable Data Collections

By Yves Rybarczyk and Rasa Zalakeviciute

Part of book: Machine Learning - Advanced Techniques and Emerging Applications

4. Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models

By Evren Dağlarli

Part of book: Advances and Applications in Deep Learning

5. Transfer Learning and Deep Domain Adaptation

By Wen Xu, Jing He and Yanfeng Shu

Part of book: Advances and Applications in Deep Learning

6. Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond

By Md Nazmus Saadat and Muhammad Shuaib

Part of book: Advances and Applications in Deep Learning

7. Machine Translation and the Evaluation of Its Quality

By Mirjam Sepesy Maučec and Gregor Donaj

Part of book: Recent Trends in Computational Intelligence

8. Machine Learning in Educational Technology

By Ibtehal Talal Nafea

Part of book: Machine Learning - Advanced Techniques and Emerging Applications

9. Pedestrian Detection and Tracking in Video Surveillance System: Issues, Comprehensive Review, and Challenges

By Ujwalla Gawande, Kamal Hajari and Yogesh Golhar

Part of book: Recent Trends in Computational Intelligence

10. Deep Learning Enabled Nanophotonics

By Lujun Huang, Lei Xu and Andrey E. Miroshnichenko

Part of book: Advances and Applications in Deep Learning