Buch, Englisch, 239 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 371 g
Buch, Englisch, 239 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 371 g
ISBN: 978-0-367-57417-8
Verlag: CRC Press
Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of uncertainty. The book starts with the introduction to uncertainty including randomness, roughness, fuzziness and non-specificity and then comprehensively discusses a number of key issues in learning with uncertainty, such as uncertainty representation in learning, the influence of uncertainty on the performance of learning system, the heuristic design with uncertainty, etc.
Most contents of the book are our research results in recent decades. The purpose of this book is to help the readers to understand the impact of uncertainty on learning processes. It comes with many examples to facilitate understanding. The book can be used as reference book or textbook for researcher fellows, senior undergraduates and postgraduates majored in computer science and technology, applied mathematics, automation, electrical engineering, etc.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
Weitere Infos & Material
Preface
Symbols and Abbreviations
Chapter 1 Uncertainty 13
Chapter 2 Decision Tree with Uncertainty
Chapter 3 Clustering under Uncertainty Environment 77
Chapter 4 Active Learning with Uncertainty 121
Chapter 5 Ensemble learning with Uncertainty 173
Index
