Machine Learning from Weak Supervision
By Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu and Tomoya Sakai
By Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu and Tomoya Sakai
By Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu and Tomoya Sakai
By Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu and Tomoya Sakai
Part of Adaptive Computation and Machine Learning series
Part of Adaptive Computation and Machine Learning series
Category: Science & Technology
Category: Science & Technology
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$65.00
Aug 23, 2022 | ISBN 9780262047074
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Aug 23, 2022 | ISBN 9780262370561
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Table Of Contents
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
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