Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge

摘要

This paper introduces a new method to automatically, rapidly and reliably evaluate the class conditional information of any subset of variables in supervised learning. It is based on a partitioning of each input variable, in intervals in the n