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» Convergence analysis of online algorithms
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ICASSP
2011
IEEE
14 years 1 months ago
Fixed point iteration for max-min sir balancing with general interference functions
This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing wor...
Nikola Vucic, Martin Schubert
JAIR
2002
163views more  JAIR 2002»
14 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
CEC
2009
IEEE
15 years 4 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 10 months ago
Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading
The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable...
Gesualdo Scutari, Sergio Barbarossa
ALT
2008
Springer
15 years 6 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster