In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with ...
To explore how people conceptualize a complex system, 232 university students were asked to sketch how a search engine works. While the sketches reveal a diverse range of visual a...