We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Consumers frequently rely on user-generated product reviews to guide purchasing decisions. Given the everincreasing volume of such reviews and variations in review quality, consum...
We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...
A novel `play-by-play' based procedure learning system has been successfully applied to automate Web tasks. In the transition to a non-Web domain, for a system widely used at...
Nate Blaylock, William de Beaumont, Lucian Galescu...
There is a growing demand for automated reasoning with world knowledge. SPASS-XDB is an automated reasoning system that incorporates world knowledge from multiple external sources...
Geoff Sutcliffe, Martin Suda, Alexandra Teyssandie...