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NAA
2000
Springer
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13 years 8 months ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova
GLOBECOM
2009
IEEE
13 years 8 months ago
Exploring Simulated Annealing and Graphical Models for Optimization in Cognitive Wireless Networks
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
Elena Meshkova, Janne Riihijärvi, Andreas Ach...
ICS
1989
Tsinghua U.
13 years 8 months ago
Convergence rate and termination of asynchronous iterative algorithms
We consider iterative algorithms of the form z := f(z), executed by a parallel or distributed computing system. We focus on asynchronous implementations whereby each processor ite...
Dimitri P. Bertsekas, John N. Tsitsiklis
COLT
2001
Springer
13 years 9 months ago
Learning Rates for Q-Learning
In this paper we derive convergence rates for Q-learning. We show an interesting relationship between the convergence rate and the learning rate used in Q-learning. For a polynomi...
Eyal Even-Dar, Yishay Mansour
ISNN
2005
Springer
13 years 10 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
IJCNN
2006
IEEE
13 years 10 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
GLOBECOM
2006
IEEE
13 years 10 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy
LSSC
2007
Springer
13 years 10 months ago
Comments on the GMRES Convergence for Preconditioned Systems
Abstract. The purpose of this paper is to comment a frequent observation by the engineers studying acoustic scattering. It is related to the convergence of the GMRES method when so...
Nabil Gmati, Bernard Philippe
ICASSP
2007
IEEE
13 years 11 months ago
A Novel Adaptive Crosstalk Cancellation using Psychoacoustic Model for 3D Audio
In rendering a virtual sound over two loudspeakers, adaptive inverse filtering is required for crosstalk cancellation. Although various adaptive algorithms have been proposed for...
Jun Jun Seong Kim, Sang-Gyun Kim, Chang D. Yoo
GLOBECOM
2008
IEEE
13 years 11 months ago
Second Order Distributed Consensus Time Synchronization Algorithm for Wireless Sensor Networks
Abstract—This paper proposes a novel discrete time secondorder distributed consensus time synchronization (SO-DCTS) algorithm for wireless sensor networks. The consensus properti...
Gang Xiong, Shalinee Kishore