Exploiting Relevance through Model-Based Reasoning

Roni Khardon, Dan Roth

Since omnipotent reasoning is hard to perform it is natural to look for shortcuts that (sometime) perform well. We say that some data is relevant to a task if it supports an efficient computation that performs correctly on the task. We explore a few aspects of relevance and show that model-based reasoning can support these representations and tasks.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.