Learning with Uncertainty
Auteurs : Wang Xizhao, Zhai Junhai
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.
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
Xizhao Wang, Junhai Zhai
Date de parution : 06-2020
15.6x23.4 cm
Date de parution : 11-2016
17.8x25.4 cm
Thèmes de Learning with Uncertainty :
Mots-clés :
Data Set; Fuzzy Decision Tree; Fuzzy Entropy; Fuzzy Set; Fuzzy Partition; UCI Data Set; Unlabeled Instances; DE Algorithm; Fuzzy Clustering; Misclassified Samples; Fuzzy Integral; Ensemble Learning; Intraclass Similarity; Learned Decision Tree; Uncertainty; Interclass Similarity; Machine learning; FCM Algorithm; Random Selection Method; Decision tree learning; Feature Weight; Clustering; DE Strategy; Active learning; Fuzzy Attribute; Fuzzy Linguistic Terms; Pool Tree; Fuzzy Decision; Fuzzy ID3; Fuzzy Rough Set