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» Probabilistic Knowledge Processing and Remaining Uncertainty
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HRI
2007
ACM
13 years 10 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
SP
2010
IEEE
210views Security Privacy» more  SP 2010»
13 years 10 months ago
Reconciling Belief and Vulnerability in Information Flow
Abstract—Belief and vulnerability have been proposed recently to quantify information flow in security systems. Both concepts stand as alternatives to the traditional approaches...
Sardaouna Hamadou, Vladimiro Sassone, Catuscia Pal...
ICASSP
2011
IEEE
12 years 10 months ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
14 years 18 days ago
Target-directed attention: Sequential decision-making for gaze planning
— It is widely agreed that efficient visual search requires the integration of target-driven top-down information and image-driven bottom-up information. Yet the problem of gaze...
Julia Vogel, Nando de Freitas
BMCBI
2006
111views more  BMCBI 2006»
13 years 6 months ago
SIMMAP: Stochastic character mapping of discrete traits on phylogenies
Background: Character mapping on phylogenies has played an important, if not critical role, in our understanding of molecular, morphological, and behavioral evolution. Until very ...
Jonathan P. Bollback