Sciweavers

1506 search results - page 139 / 302
» On the Distribution of Natural Probability Functions
Sort
View
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
CORR
2006
Springer
86views Education» more  CORR 2006»
15 years 4 months ago
Maximum Entropy MIMO Wireless Channel Models
In this contribution, models of wireless channels are derived from the maximum entropy principle, for several cases where only limited information about the propagation environmen...
Maxime Guillaud, Mérouane Debbah, Aris L. M...
TCS
2010
15 years 2 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
ICDCN
2009
Springer
15 years 11 months ago
Flooding-Assisted Threshold Assignment for Aggregate Monitoring in Sensor Networks
The research community has witnessed a large interest in monitoring large scale distributed systems. In these applications typically we wish to monitor a global system condition wh...
Ali Abbasi, Ahmad Khonsari, Mohammad Sadegh Talebi
INFOCOM
2010
IEEE
15 years 3 months ago
Markov Approximation for Combinatorial Network Optimization
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...
Minghua Chen, Soung Chang Liew, Ziyu Shao, Caihong...