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Judul Buku
Autonomous Learning Systems ISBN9781118481769 |
| No | Judul Bab | Hits | Opsi |
|---|---|---|---|
| 1 | Front Matter | 12 | Download |
| 2 | Introduction | 17 | Download |
| 3 | Fundamentals of Probability Theory | 16 | Download |
| 4 | Fundamentals of Machine Learning and Pattern Recognition | 13 | Download |
| 5 | Fundamentals of Fuzzy Systems Theory | 17 | Download |
| 6 | Evolving System Structure from Streaming Data | 11 | Download |
| 7 | Autonomous Learning Parameters of the Local Submodels | 11 | Download |
| 8 | Autonomous Predictors, Estimators, Filters, Inferential Sensors | 10 | Download |
| 9 | Autonomous Learning Classifiers | 12 | Download |
| 10 | Autonomous Learning Controllers | 11 | Download |
| 11 | Collaborative Autonomous Learning Systems | 12 | Download |
| 12 | Autonomous Learning Sensors for Chemical and Petrochemical Industries | 11 | Download |
| 13 | Autonomous Learning Systems in Mobile Robotics | 10 | Download |
| 14 | Autonomous Novelty Detection and Object Tracking in Video Streams | 10 | Download |
| 15 | Modelling Evolving User Behaviour with ALS | 10 | Download |
| 16 | Epilogue | 11 | Download |
| 17 | Appendix A: Mathematical Foundations | 10 | Download |
| 18 | Appendix B: Pseudocode of the Basic Algorithms | 11 | Download |
| 19 | References | 10 | Download |
| 20 | Glossary | 9 | Download |
| 21 | Index | 8 | Download |