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» Performance optimization under rise and fall parameters
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ECML
2006
Springer
14 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
CONEXT
2008
ACM
13 years 12 months ago
TDM MAC protocol design and implementation for wireless mesh networks
We present the design, implementation, and evaluation of a Time Division Multiplex (TDM) MAC protocol for multihop wireless mesh networks using a programmable wireless platform. E...
Dimitrios Koutsonikolas, Theodoros Salonidis, Henr...
PE
2008
Springer
106views Optimization» more  PE 2008»
13 years 10 months ago
Heavy traffic analysis of polling models by mean value analysis
In this paper we present a new approach to derive heavy-traffic asymptotics for polling models. We consider the classical cyclic polling model with exhaustive or gated service at ...
Robert D. van der Mei, Erik M. M. Winands
JC
2007
109views more  JC 2007»
13 years 10 months ago
Cubature formulas for function spaces with moderate smoothness
We construct simple algorithms for high-dimensional numerical integration of function classes with moderate smoothness. These classes consist of square-integrable functions over t...
Michael Gnewuch, René Lindloh, Reinhold Sch...
JCP
2007
100views more  JCP 2007»
13 years 10 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...