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CSL
2007
Springer
15 years 6 months ago
Articulatory feature recognition using dynamic Bayesian networks
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
Joe Frankel, Mirjam Wester, Simon King
ICSE
2003
IEEE-ACM
16 years 6 months ago
From HCI to Software Engineering and Back
Methods to assess and ensure system usability are becoming increasingly important as market edge becomes less dependent on function and more dependent on ease of use, and as recog...
José Creissac Campos, Michael D. Harrison
176
Voted
TIT
2008
132views more  TIT 2008»
15 years 6 months ago
Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises
Abstract--In most previously reported studies on locally optimum detection of signals, independent observations have been assumed in various noise environments. The use of an indep...
Jumi Lee, Iickho Song, Hyoungmoon Kwon, Hong Jik K...
AIED
2011
Springer
14 years 10 months ago
When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?
We investigate whether an overall student disengagement label and six different labels of disengagement type are predictive of learning in a spoken dialog computer tutoring corpus...
Katherine Forbes-Riley, Diane J. Litman
SRDS
2006
IEEE
16 years 22 days ago
Solving Consensus Using Structural Failure Models
Failure models characterise the expected component failures in fault-tolerant computing. In the context of distributed systems, a failure model usually consists of two parts: a fu...
Timo Warns, Felix C. Freiling, Wilhelm Hasselbring