Mixture Models and Applications 2020 Edition Contributor(s): Bouguila, Nizar (Editor), Fan, Wentao (Editor) |
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ISBN: 303023875X ISBN-13: 9783030238759 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: August 2019 |
Additional Information |
BISAC Categories: - Technology & Engineering | Electronics - General - Computers | Mathematical & Statistical Software - Mathematics | Probability & Statistics - General |
Dewey: 005.55 |
Series: Unsupervised and Semi-Supervised Learning |
Physical Information: 0.81" H x 6.14" W x 9.21" (1.52 lbs) 355 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature.
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