60 search results - page 6 / 12 » Nonlinear Time-Series Prediction with Missing and Noisy Data |
ESANN
2007
13 years 10 months ago
2007
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
NECO
2002
13 years 8 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
ENVSOFT
2007
13 years 9 months ago
2007
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
AAAI
2011
12 years 9 months ago
2011
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...
SIGMETRICS
2003
ACM
14 years 2 months ago
2003
ACM
Since web workloads are known to vary dynamically with time, in this paper, we argue that dynamic resource allocation techniques are necessary to provide guarantees to web applicat...