In this paper we show how historical data, such as existing domain-specific databases or access logs, can be used to guide user interface design. We show how we employed such data...
In Toronto's Kanata project, we are investigating the integration and exchange of data and metadata in dynamic, autonomous environments. Our focus is on the development and m...
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...