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» Estimation of non-stationary Markov Chain transition models
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NIPS
1998
15 years 1 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
ICMCS
2000
IEEE
98views Multimedia» more  ICMCS 2000»
15 years 4 months ago
Mining User Behavior for Resource Prediction in Interactive Electronic Malls
Applications in virtual multimedia catalogs are highly interactive. Thus, it is difficult to estimate resource demands required for presentation of catalog contents. In this pape...
Silvia Hollfelder, Vincent Oria, M. Tamer Özs...
NIPS
2008
15 years 1 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
MASCOTS
2010
15 years 1 months ago
An Analytical Model with Improved Accuracy of IEEE 802.11 Protocol Under Unsaturated Conditions
In this work the authors present an analytical model that -- compared to previously published work -- more accurately captures the delay of IEEE 802.11 protocol under low, medium,...
Kumaran Vijayasankar, Azar Taufique, Lakshmi Naras...
MOBIMEDIA
2007
15 years 1 months ago
Performance evaluation of IEEE 802.11e based on ON-OFF traffic model
We investigate the performance of the IEEE 802.11e while emphasizing on the end-to-end delay performance. In our MAC delay analysis, we are based on elementary conditional probabi...
Ioannis Papapanagiotou, John S. Vardakas, Georgios...