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» Long term tracking using Bayesian networks
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CODES
2007
IEEE
15 years 10 months ago
On the impact of manufacturing process variations on the lifetime of sensor networks
As an emerging technology, sensor networks provide the ability to accurately monitor the characteristics of wide geographical areas over long periods of time. The lifetime of indi...
Siddharth Garg, Diana Marculescu
PODC
2010
ACM
15 years 8 months ago
Brief announcement: asynchronous bounded expected delay networks
We propose a natural generalisation of asynchronous bounded delay (ABD) network models. The commonly used ABD models assume a known bound on message delay. This assumption is ofte...
Rena Bakhshi, Jörg Endrullis, Wan Fokkink, Ju...
HRI
2007
ACM
15 years 8 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
MLDM
2009
Springer
15 years 10 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
EDM
2008
104views Data Mining» more  EDM 2008»
15 years 5 months ago
Data-driven modelling of students' interactions in an ILE
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
Manolis Mavrikis