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» Link prediction and path analysis using Markov chains
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GLOBECOM
2010
IEEE
13 years 5 months ago
Throughput and Energy Efficiency of Opportunistic Routing with Type-I HARQ in Linear Multihop Networks
Opportunistic routing is a well-known technique that exploits the broadcast nature of wireless transmissions and path diversity to form the route in an adaptive manner based on cur...
Davide Chiarotto, Osvaldo Simeone, Michele Zorzi
IANDC
2010
116views more  IANDC 2010»
13 years 6 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
JCM
2006
101views more  JCM 2006»
13 years 7 months ago
On the Analysis of Mobility Mechanisms in Micro Mobile MPLS Access Networks
Abstract--One of the major challenges for the nextgeneration mobile systems is related to efficient mobility management issue. In this paper, we propose a new micromobility managem...
Rami Langar, Nizar Bouabdallah, Samir Tohmé
CVIU
2008
126views more  CVIU 2008»
13 years 7 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong