403 search results - page 36 / 81 » Accounting for input model and parameter uncertainty in simu... |
SIBGRAPI
2008
IEEE
14 years 3 months ago
2008
IEEE
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
NECO
2008
13 years 8 months ago
2008
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
ACRI
2004
Springer
14 years 2 months ago
2004
Springer
In this work we study the collective behavior in a model of a simplified homogeneous society. Each agent is modeled as a binary “perceptron”, receiving neighbors’ opinions a...
ICASSP
2011
IEEE
13 years 14 days ago
2011
IEEE
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
QEST
2010
IEEE
13 years 6 months ago
2010
IEEE
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...