from wiki,
The minimum description length (MDL) principle is a formalization of Occam's Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is an important
concept in information theory and learning theory.[1][2][3]
最小描述長度原則是將奧卡姆剃刀形式化後的一種結果。其想法是，在給予假說的集合的情況下，能產生最多資料壓縮效果的那個假說是最好的。它是在1978年由Jorma Rissanen所引入的。在資訊理論和計算機學習理論中，最小描述長度原則是個重要觀念。