Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
A new account of parameter setting during grammatical acquisition is presented in terms of Generalized Categorial Grammar embedded in a default inheritance hierarchy, providing a ...
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
The Airport Example The Omelette Example Copyright c 1996 American Association for Artificial Intelligence. All rights reserved. Despite the existence of programs that are able to ...
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...