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GLOBECOM
2006
IEEE
9 years 1 months ago
Analytical Investigation with Markov Models of Selective Repeat Type II Hybrid ARQ
— This paper presents an analytical model for the analysis of Hybrid ARQ techniques on Discrete Time Markov Channels by means of Markov chains. The first contribution is an orig...
Leonardo Badia, Marco Levorato, Michele Zorzi
GLOBECOM
2006
IEEE
9 years 1 months ago
Multi-Antenna Limited Feedback for Temporally-Correlated Channels: Feedback Compression
— A novel method is proposed for reducing the feedback rate of a transmit beamforming system with feedback of quantized channel state information. Specifically, the channel is m...
Kaibin Huang, Bishwarup Mondal, Robert W. Heath Jr...
TACAS
2007
Springer
136views Algorithms» more  TACAS 2007»
9 years 1 months ago
Bisimulation Minimisation Mostly Speeds Up Probabilistic Model Checking
This paper studies the effect of bisimulation minimisation in model checking of monolithic discrete-time and continuous-time Markov chains as well as variants thereof with rewards...
Joost-Pieter Katoen, Tim Kemna, Ivan S. Zapreev, D...
EPEW
2007
Springer
9 years 1 months ago
Closed Form Absorption Time Bounds
We consider a class of Markov chains known for its closed form transient and steady-state distributions. We show that some absorbing chains can be also seen as members of this clas...
Ana Busic, Nihal Pekergin
IEEEARES
2007
IEEE
9 years 1 months ago
Reliability Markov Chains for Security Data Transmitter Analysis
Security communication systems composed of highly reliable components may have few if any failures while undergoing heavy testing or field-usage. This paper combines (i) analysis ...
Calin Ciufudean, Bianca Satco, Constantin Filote
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
9 years 1 months ago
Probabilistic mapping of dynamic obstacles using Markov chains for replanning in dynamic environments
— Robots acting in populated environments must be capable of safe but also time efficient navigation. Trying to completely avoid regions resulting from worst case predictions of...
Florian Rohrmüller, Matthias Althoff, Dirk Wo...
CDC
2008
IEEE
184views Control Systems» more  CDC 2008»
9 years 1 months ago
Almost sure convergence to consensus in Markovian random graphs
— In this paper we discuss the consensus problem for a network of dynamic agents with undirected information flow and random switching topologies. The switching is determined by...
Ion Matei, Nuno C. Martins, John S. Baras
ICC
2009
IEEE
184views Communications» more  ICC 2009»
9 years 1 months ago
A 3-D Markov Chain Queueing Model of IEEE 802.11 DCF with Finite Buffer and Load
—We introduce a 3-dimensional Markov chain that integrates the IEEE 802.11 DCF contention resolution and queueing processes into one model. Important QoS measures, delay and loss...
Ren Ping Liu, Gordon Sutton, Iain B. Collings
ICC
2009
IEEE
114views Communications» more  ICC 2009»
9 years 1 months ago
Markov Chain Minimum Bit Error Rate Detection for Multi-Functional MIMO Uplink
— In this paper, we introduce a novel Markov Chain (MC) representation aided Minimum Bit Error Rate (MBER) detection method that is applicable to an M-QAM modulated SDM/SDMA upli...
Shinya Sugiura, Sheng Chen, Lajos Hanzo
ICML
2009
IEEE
9 years 2 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
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