Feature interaction detection methods, whether online or offline, depend on previous knowledge of conflicts between the actions executed by the features. This knowledge is usually ...
Ahmed F. Layouni, Luigi Logrippo, Kenneth J. Turne...
We use a haptically enhanced mixing board with a video projector as an interface to various data visualization tasks. We report results of an expert review with four participants,...
Matthew Crider, Steven Bergner, Thomas N. Smyth, T...
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
In this paper, a Multi-agent System (MAS) is presented for providing clinical decision support to healthcare practitioners in rural or remote areas of India for young infants or c...
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...