Perspectives of Neural-Symbolic Integration
| Author/creator | Hammer, Barbara Editor |
| Other author | Hitzler, Pascal Editor |
| Format | Electronic |
| Publication Info | New York : Springer |
| Description | 319 p. ill 09.350 x 06.400 in. |
| Supplemental Content | Full text available from SpringerLINK Studies in Computational Intelligence Contemporary (1997-present) |
| Subjects |
| Series | Studies in Computational Intelligence Ser. |
| Summary | Annotation 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. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9783540739531 |
| ISBN | 354073953X (Mixed Media, Trade Cloth) Active Record |
| Standard identifier# | 9783540739531 |
| Stock number | 00024965 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |