An introduction to computational learning theory /
Tallennettuna:
| Päätekijä: | |
|---|---|
| Muut tekijät: | |
| Aineistotyyppi: | Kirja |
| Kieli: | English |
| Julkaistu: |
Cambridge, Mass. :
MIT Press,
c1994.
|
| Aiheet: |
Sisällysluettelo:
- 1. The Probably Approximately Correct Learning Model
- 2. Occam's Razor
- 3. The Vapnik-Chervonenkis Dimension
- 4. Weak and Strong Learning
- 5. Learning in the Presence of Noise
- 6. Inherent Unpredictability
- 7. Reducibility in PAC Learning
- 8. Learning Finite Automata by Experimentation
- 9. Appendix: Some Tools for Probabilistic Analysis.