"The task of inductive inference is to find laws or regularities underlying some given set of data. These laws are then used to gain insight into the data or to classify or predict future data. The minimum description length (MDL) principle is a general method for inductive inference, based on the idea that the more we are able to compress (describe in a compact manner) a set of data, the more regularities we have found in it and therefore, the more we have learned from the data."
Keine Kommentare:
Kommentar veröffentlichen