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NPL
1998
175views more  NPL 1998»
15 years 5 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»
16 years 6 days 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
16 years 18 days 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»
15 years 4 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
15 years 10 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