This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Abstract— UrbanSim is a large scale land use and transportation simulator that models the possible long-term effects of different policies on urban regions. The output is present...
Networking course projects are usually described by an informal specification and a collection of test cases. Students often misunderstand the specification or oversimplify it t...
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
: Automated test case and test driver generation from a precise behaviour UML model is an emerging approach for software functional validation. This innovative approach for validat...