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| Link zu diesem Datensatz | https://d-nb.info/1378795148 |
| Titel | Intelligent Systems: From Theory to Applications : Foundations, Search Algorithms, and Machine Learning / by Oleksandr Kuznetsov |
| Person(en) | Kuznetsov, Oleksandr (Verfasser) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XXVIII, 395 p. 241 illus., 227 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-00043-9 Printed edition:: ISBN: 978-3-032-00045-3 Printed edition:: ISBN: 978-3-032-00046-0 |
| Inhalt | "Dedication -- Acknowledgments -- Foreword -- Preface -- About This Book -- Acronyms -- 1" -- " Introduction to Intelligent Systems" -- "2. The Evolution of Artificial Intelligence" -- "3. The Turing Test and Fundamental AI Concepts" -- "4. Modern Applications of Intelligent Systems" -- "5. Problem Formulation and Search Spaces" -- "6. Uninformed Search Algorithms" -- "7. Informed Search Algorithms" -- "8. The A* Algorithm" -- "9. Genetic Algorithms" -- "10. Hill Climbing" -- "11. Simulated Annealing" -- "12. Gradient-Based Optimization" -- "13. Tabu Search -- "14. Swarm Intelligence" -- "Part III. Advanced Machine Learning" -- "15. Introduction to Machine Learning" -- "16. Supervised Learning" -- "17. Unsupervised Learning" -- "18. Reinforcement Learning -- Appendix A: Uninformed Search Algorithm Exercises -- Appendix B: Informed Search Algorithm Exercises -- Appendix C: A* Algorithm Implementation Exercises -- Appendix D: Genetic Algorithms Exercises -- Appendix E: Hill Climbing Exercises -- Appendix F: Simulated Annealing Exercises -- Appendix G: Gradient Descent Optimization Exercises -- Appendix H: Tabu Search Exercises -- Appendix I: Swarm Intelligence Exercises -- Appendix J: Machine Learning Fundamentals Exercises -- Appendix K: Supervised Learning Exercises -- Appendix L: Unsupervised Learning Exercises -- Appendix M: Reinforcement Learning Exercises" |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510130416379.219707953333 DOI: 10.1007/978-3-032-00044-6 |
| URL | https://doi.org/10.1007/978-3-032-00044-6 |
| ISBN/Einband/Preis | 978-3-032-00044-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Cognitive Technologies |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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