Please use this identifier to cite or link to this item:
192.168.6.56/handle/123456789/49701Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Grunwald, Peter D. | - |
| dc.date.accessioned | 2019-03-04T05:52:55Z | - |
| dc.date.available | 2019-03-04T05:52:55Z | - |
| dc.date.issued | 2005 | - |
| dc.identifier.isbn | 0-262-07262-9 | - |
| dc.identifier.uri | http://10.6.20.12:80/handle/123456789/49701 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Massachusetts Institute | en_US |
| dc.subject | Minimum description length | en_US |
| dc.subject | Information theory | en_US |
| dc.subject | Machine learning | en_US |
| dc.title | Advances in Minimum Description Length Theory and Applications | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Information and Computer Science | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Peter D. Grunwald_2005.pdf | 4.66 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.