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. MDL methods are particularly well-suited for dealing with model selection, prediction, and estimation problems in.
The Minimum Description Length Principle (Adaptive Computation and Machine Learning series) books pdf online
The Minimum Description Length Principle (Adaptive Computation and Machine Learning series) download
download The Minimum Description Length Principle (Adaptive Computation and Machine Learning series) pdf free
The Minimum Description Length Principle (Adaptive Computation and Machine Learning series) free ebook pdf epub
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.