We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
We describe an adaptation and application of a search-based structured prediction algorithm "Searn" to unsupervised learning problems. We show that it is possible to red...
: To improve downlink packet throughput, the base schedules a mobile when its signal to interference ratio is higher than on average. The mobiles measure downlink pilots from the s...
This paper explores the role of data analysis methods to support system-level designers in characterising the performance of embedded applications. In particular, we address the p...
We aim to advance the understanding of individual security decision-making, by combining formal and behavioral analysis. We sketch a game-theoretic model of security decision-maki...