Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Hardcover)

Preface xiii
I Machine Learning from Weak Supervision
1 Introduction 3
2 Formulation and Notation 21
3 Supervised Classification 35
II Weakly Supervised Learning for Binary Classification
4 Positive-Unlabeled (PU) Classification 67
5 Positive-Negative-Unlabeled (PNU) Classification 85
6 Positive-Confidence (Pconf) Classification 111
7 Pairwise-Constraint Classification 127
8 Unlabeled-Unlabeled (UU) Classification 149
III Weakly Supervised Learning for Multi-class Classification
9 Complementary-Label Classification 177
10 Partial-Label Classification 193
IV Advanced Topics and Perspectives
11 Non-Negative Correction for Weakly Supervised Classification 207
12 Class-Prior Estimation 239
13 Conclusions and Prospects 275
Notes 279
Bibliography 283
Index 293