Sciweavers

SRDS
2007
IEEE
13 years 10 months ago
RAPID: Reliable Probabilistic Dissemination in Wireless Ad-Hoc Networks
In this paper, we propose a novel ReliAble ProbabIlistic Dissemination protocol, RAPID, for mobile wireless ad-hoc networks that tolerates message omissions, node crashes, and sel...
Vadim Drabkin, Roy Friedman, Gabriel Kliot, Marc S...
ISQED
2007
IEEE
97views Hardware» more  ISQED 2007»
13 years 10 months ago
Probabilistic Congestion Prediction with Partial Blockages
— Fast and accurate routing congestion estimation is essential for optimizations such as floorplanning, placement, buffering, and physical synthesis that need to avoid routing c...
Zhuo Li, Charles J. Alpert, Stephen T. Quay, Sachi...
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
13 years 10 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
13 years 11 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
13 years 11 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
ICPR
2008
IEEE
13 years 11 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
SEMWEB
2009
Springer
13 years 11 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
13 years 11 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
FOSSACS
2010
Springer
13 years 11 months ago
Retaining the Probabilities in Probabilistic Testing Theory
Abstract. This paper considers the probabilistic may/must testing theory for processes having external, internal, and probabilistic choices. We observe that the underlying testing ...
Sonja Georgievska, Suzana Andova