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» Probabilistic Inference in Queueing Networks
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SUM
2009
Springer
14 years 2 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
CHI
2006
ACM
14 years 8 months ago
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
Kazuhiro Otsuka, Junji Yamato, Yoshinao Takemae, H...
SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...
EDBT
2008
ACM
131views Database» more  EDBT 2008»
14 years 7 months ago
A Bayesian approach for on-line max and min auditing
In this paper we consider the on-line max and min query auditing problem: given a private association between fields in a data set, a sequence of max and min queries that have alr...
Gerardo Canfora, Bice Cavallo
ETFA
2008
IEEE
13 years 9 months ago
Efficient failure-free foundry production
Microshrinkages are known as probably the most difficult defects to avoid in high-precission foundry. Depending on the magnitude of this defect, the piece in which it appears must...
Yoseba K. Penya, Pablo Garcia Bringas, Argoitz Zab...