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109
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CHI
2007
ACM
16 years 3 months ago
Dynamic detection of novice vs. skilled use without a task model
If applications were able to detect a user's expertise, then software could automatically adapt to better match expertise. Detecting expertise is difficult because a user...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
130
Voted
IFM
2009
Springer
124views Formal Methods» more  IFM 2009»
15 years 9 months ago
Dynamic Path Reduction for Software Model Checking
We present the new technique of dynamic path reduction (DPR), which allows one to prune redundant paths from the state space of a program under verification. DPR is a very general...
Zijiang Yang, Bashar Al-Rawi, Karem Sakallah, Xiao...
ENTCS
2006
181views more  ENTCS 2006»
15 years 2 months ago
Conditional Doxastic Models: A Qualitative Approach to Dynamic Belief Revision
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
Alexandru Baltag, Sonja Smets
CHI
2008
ACM
16 years 3 months ago
Peephole pointing: modeling acquisition of dynamically revealed targets
Peephole interaction occurs when a spatially aware display is moved and acts as a viewport to reveal different parts of the virtual space that cannot all fit within the display at...
Xiang Cao, Jacky Jie Li, Ravin Balakrishnan
135
Voted
ICASSP
2009
IEEE
15 years 9 months ago
Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach
Speech has a property that the speech unit preceding a speech pause tends to lengthen. This work presents the use of a dynamic Bayesian network to model the prepausal lengthening ...
Ning Ma, Chris Bartels, Jeff A. Bilmes, Phil Green