Name
Abstract | ||
|---|---|---|
The Minimum Description Length (MDL) principle provides guidanceto the fundamental question of determining what a given set of observeddata tells us about the underlying data generating machinery. Hence, in thebroadest sense the MDL principle relates to the central question of all science,although its most useful applications have been to the more practical problemof fitting statistical models to data. In this article, we review the MDL principleand demonstrate how it may be... |
Year | Venue | Keywords |
|---|---|---|
1992 | Language Computations | language acquisition,minimum description length,statistical model |
Field | DocType | Citations |
Computer science,Minimum description length,Language acquisition,Statistical model,Natural language processing,Artificial intelligence | Conference | 6 |
PageRank | References | Authors |
1.45 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorma Rissanen | 1 | 1665 | 798.14 |
| Eric Sven Ristad | 2 | 353 | 68.84 |