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NPL
1998
175views more  NPL 1998»
13 years 8 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
ICC
2007
IEEE
139views Communications» more  ICC 2007»
14 years 2 months ago
A Distributed Estimation Algorithm for Tracking over Wireless Sensor Networks
—A new distributed estimation algorithm for tracking using a wireless sensor network is presented. We investigate how to track a time varying signal, noisily sensed by the nodes ...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...
ICASSP
2009
IEEE
14 years 3 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
WINET
2010
128views more  WINET 2010»
13 years 6 months ago
Distributed algorithms for lifetime maximization in sensor networks via Min-Max spanning subgraphs
We consider the problem of static transmission-power assignment for lifetime maximization of a wireless sensor network with stationary nodes operating in a data-gathering scenario...
Harri Haanpää, André Schumacher, ...
ICANN
2009
Springer
14 years 1 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios