Zhang, Baochang,
Machine Learning and Visual Perception / Baochang Zhang. - 1 online resource (X, 142 p.) - De Gruyter Textbook .
Frontmatter -- Contents -- Introduction -- 1. Introduction of machine learning -- 2. PAC Model -- 3. Decision tree learning -- 4. Bayesian learning -- 5. Support vector machines -- 6. AdaBoost -- 7. Compressed sensing -- 8. Subspace learning -- 9. Deep learning and neural networks -- 10. Reinforcement learning -- Bibliography -- Index
restricted access http://purl.org/coar/access_right/c_16ec
The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers.
Mode of access: Internet via World Wide Web.
In English.
9783110595567
10.1515/9783110595567 doi
Machine Learning and Visual Perception / Baochang Zhang. - 1 online resource (X, 142 p.) - De Gruyter Textbook .
Frontmatter -- Contents -- Introduction -- 1. Introduction of machine learning -- 2. PAC Model -- 3. Decision tree learning -- 4. Bayesian learning -- 5. Support vector machines -- 6. AdaBoost -- 7. Compressed sensing -- 8. Subspace learning -- 9. Deep learning and neural networks -- 10. Reinforcement learning -- Bibliography -- Index
restricted access http://purl.org/coar/access_right/c_16ec
The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers.
Mode of access: Internet via World Wide Web.
In English.
9783110595567
10.1515/9783110595567 doi