Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
This paper presents a technique, called GENH, that automatically generates search heuristics for scheduling problems. The impetus for developing this technique is the growing cons...
Robert A. Morris, John L. Bresina, Stuart M. Rodge...
In previous work [BGHK92, BGHK93], we have studied the random-worlds approach--a particular (and quite powerful) method for generating degrees of belief (i.e., subjective probabil...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
This report outlines our participation in CLEF-IP's 2009 prior art search task. In the task's initial year our focus lay on the automatic generation of effective queries...