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AAAI
2000
15 years 8 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
172
Voted
ESANN
2000
15 years 8 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
ICASSP
2010
IEEE
15 years 7 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
ADCM
2007
84views more  ADCM 2007»
15 years 7 months ago
A non-linear circle-preserving subdivision scheme
We describe a new method for constructing a sequence of refined polygons, which starts with a sequence of points and associated normals. The newly generated points are sampled fr...
Pavel Chalmovianský, Bert Jüttler
183
Voted
CSDA
2010
119views more  CSDA 2010»
15 years 7 months ago
Fast robust estimation of prediction error based on resampling
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar