The Minimum Description Length Principle
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| Google books | books.google.com |
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| Originally published | 2007 |
| Authors | Peter D. Grünwald |
| Date of Reg. | |
| Date of Upd. | |
| ID | 2024524 |
About The Minimum Description Length Principle
The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of the data. . . .