- Title
- A computable theory for learning Bayesian networks based on MAP-MDL principles
- Creator
- Pan, Heping; McMichael, Daniel
- Date
- 2005
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/32306
- Identifier
- vital:1517
- Identifier
- http://www.users.on.net/~daniel_mcmichael/papers/AI2005-PanMcMichael.pdf
- Abstract
- E1
- Publisher
- Sydney : UTS
- Relation
- Paper presented at Workshop on Learning Algorithms for Pattern Recognition in conjunction with the 18th Australian Joint Conference on Artificial Intelligence AI'05, Sydney : 5th - 9th December, 2005 p. 769-776
- Rights
- Open Access
- Rights
- Copyright Unknown
- Rights
- This metadata is freely available under a CCO license
- Subject
- Bayesian network; Information technology; Artificial intelligence
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Submitted version | 171 KB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | SOURCE2 | Published version | 298 KB | Adobe Acrobat PDF | View Details Download |