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Book Categories |
| Series Foreword | ||
| Preface | ||
| I | Fundamentals of Learning Theory | 1 |
| 1 | Introduction | 3 |
| 2 | Formalities | 15 |
| 3 | Identification | 27 |
| 4 | Identification by Computable Scientists | 61 |
| II | Fundamental Paradigms Generalized | 89 |
| 5 | Strategies for Learning | 91 |
| 6 | Criteria of Learning | 127 |
| 7 | Inference of Approximations | 151 |
| 8 | Environments | 167 |
| III | Part III: Additional Topics | 195 |
| 9 | Team and Probabilistic Learning | 197 |
| 10 | Learning with Additional Information | 221 |
| 11 | Learning with Oracles | 251 |
| 12 | Complexity Issues in Identification | 261 |
| 13 | Beyond Identification by Enumeration | 281 |
| Bibliography | 289 | |
| Notation Index | 303 | |
| Author and Subject Index | 309 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Michael Lucchesi
reviewed Systems that learn on August 23, 2014
Systems that learn
Be warned: if you read this book you may realize that we have, already at our disposal, the technology to teach people in ways that will make all of their limitations disappear, but our schools, colleges and universities are CHOOSING not to use them. They are instead, choosing to hobble people and make them dumb.
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Add Systems that learn, Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function , Systems that learn to the inventory that you are selling on WonderClubX
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Add Systems that learn, Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function , Systems that learn to your collection on WonderClub |
