Series: Machine Learning: Foundations, Methodologies, and Applications
Filter
-
Creators
- Abhishek Gupta 1
- Dacheng Tao 1
- Davide Pastorello 1
- Eva Bartz 1
- Fangfang Zhang 1
- Fengxiang He 1
- Guojiang Shen 1
- Hangyu Zhu 1
- Jindong Wang 1
- Jingjing Li 1
- Jinjin Xu 1
- Kay Chen Tan 1
- Lei Zhu 1
- Liang Feng 1
- Lingyun Wang 1
- Mengjie Zhang 1
- Mengmeng Wang 1
- Nirupam Gupta 1
- Rachid Guerraoui 1
- Rafael Pinot 1
- Su Nguyen 1
- Teik Toe Teoh 1
- Thomas Bartz-Beielstein 1
- Xiangjie Kong 1
- Yang Chen 1
-
Subjects
-
Publisher
-
Format
Artificial Intelligence in...
Machine Learning: Foundations, Methodologies, and Applications (Series)
Teik Toe Teoh Author
Yu Jin Goh Author
(2023)
Genetic Programming for...
Machine Learning: Foundations, Methodologies, and Applications (Series)
Fangfang Zhang Author
Su Nguyen Author
(2021)
Federated Learning
Machine Learning: Foundations, Methodologies, and Applications (Series)
Yaochu Jin Author
Hangyu Zhu Author
(2022)
Concise Guide to Quantum...
Machine Learning: Foundations, Methodologies, and Applications (Series)
Davide Pastorello Author
(2022)
Evolutionary Multi-Task...
Machine Learning: Foundations, Methodologies, and Applications (Series)
Liang Feng Author
Abhishek Gupta Author
(2023)
Introduction to Transfer...
Machine Learning: Foundations, Methodologies, and Applications (Series)
Jindong Wang Author
Yiqiang Chen Author
(2023)
Online Machine Learning
Machine Learning: Foundations, Methodologies, and Applications (Series)
Eva Bartz Editor
Thomas Bartz-Beielstein Editor
(2024)
Robust Machine Learning
Machine Learning: Foundations, Methodologies, and Applications (Series)
Rachid Guerraoui Author
Nirupam Gupta Author
(2024)
Unsupervised Domain Adaptation
Machine Learning: Foundations, Methodologies, and Applications (Series)
Jingjing Li Author
Lei Zhu Author
(2024)
Foundations of Deep Learning
Machine Learning: Foundations, Methodologies, and Applications (Series)
Fengxiang He Author
Dacheng Tao Author
(2025)
