When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering loose' coupling by means of structure kernels or recursive models as well as strong' coupling of logic and neural networks.
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When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering loose' coupling by means of structure kernels or recursive models as well as strong' coupling of logic and neural networks.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Studies in Computational Intelligence, 77 |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Editors | Barbara Hammer, Pascal Hitzler |
Dimensions | 235 x 155 x 17mm (L x W x T) |
Format | Paperback |
Pages | 319 |
Edition | Softcover reprint of hardcover 1st ed. 2007 |
ISBN-13 | 978-3-642-09322-7 |
Barcode | 9783642093227 |
Categories | |
LSN | 3-642-09322-1 |