Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.
Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.
Imprint | Morgan Kaufmann Publishers In |
Country of origin | United States |
Release date | October 1985 |
Availability | We don't currently have any sources for this product. If you add this item to your wish list we will let you know when it becomes available. |
Authors | Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell |
Format | Electronic book text |
Pages | 572 |
ISBN-13 | 978-0-08-051054-5 |
Barcode | 9780080510545 |
Categories | |
LSN | 0-08-051054-X |