Machine Learning in Non-stationary Environments
Download or Read eBook Machine Learning in Non-stationary Environments PDF written by Masashi Sugiyama and published by MIT Press. This book was released on 2012 with total page 279 pages. Available in PDF, EPUB and Kindle.
| Author | : Masashi Sugiyama |
| Publisher | : MIT Press |
| Total Pages | : 279 |
| Release | : 2012 |
| ISBN-10 | : 9780262017091 |
| ISBN-13 | : 0262017091 |
| Rating | : 4/5 (91 Downloads) |
Book Synopsis Machine Learning in Non-stationary Environments by : Masashi Sugiyama
Book excerpt: Dealing with non-stationarity is one of modem machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity.
