product description page
Learning With Uncertainty (Hardcover) (Xizhao Wang & Junhai Zhai)
about this item
The purpose of this book is to help readers understand the impact of uncertainty on learning processes. It is the first comprehensive book on the subject of learning with uncertainty and covers the main branches of machine learning, including inductive learning, unsupervised learning, active learning and ensemble learning. The author provides many examples to facilitate understanding and includes hot research topics such as learning from big data with uncertainty.