11.1 Outline ffl Bayesian learning ffl MDL (Minimum Description Length)
unknown authors
http://www.cs.cmu.edu/afs/cs/usr/lafferty/www/local/handouts/bayesmdl.ps
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Abstract:
In this lecture we consider the technique of Bayesian Inference. These notes are
Citations
| 716 | Modeling by shortest data description – Rissanen - 1978 |
| 285 | A universal prior for integers and estimation by minimum description length – Rissanen - 1983 |
| 121 | On the rationale of maximum entropy methods – Jaynes - 1982 |
| 98 | Prior probabilities – Jaynes - 1968 |
| 65 | In defense of probability – Cheeseman - 1985 |
| 44 | The Estimation of Probabilities – Good - 1996 |
| 39 | An inquiry into computer understanding – Cheeseman - 1988 |
| 4 | Bayesian prediction for artificial intelligence – Self, Cheeseman - 1987 |
| 2 | Minimum Information Estimation of Structure – Hart - 1987 |
| 2 | A concept of independence with applications in various fields of mathematics – Levin, Leonid - 1980 |

