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Mixture Models and Applications 2020 Edition
Contributor(s): Bouguila, Nizar (Editor), Fan, Wentao (Editor)
ISBN: 303023875X     ISBN-13: 9783030238759
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: August 2019
Qty:
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.
  • Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection;
  • Present theoretical and practical developments in mixture-based modeling and their importance in different applications;
  • Discusses perspectives and challenging future works related to mixture modeling.