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Softcover - 9783030238780
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Beschreibung
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 tomixture modeling.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 30. August 2019 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 717 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783030238759 |
| Seiten | 355 |
Schlagwörter
Digitale Signalverarbeitung (DSP), Elektronik, Mathematik für Informatiker, Mathematische und statistische Software, Probability and Statistics in Computer Science, Probability Theory, Signal - Speech and Image Processing, Statistics and Computing, Stochastik, Wahrscheinlichkeitsrechnung und Statistik
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