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» Time Series Prediction by Perturbed Fuzzy Model
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ENGL
2008
85views more  ENGL 2008»
14 years 9 months ago
Prediction of Concentration Profiles of Dispersed Particles through Horizontal Cylindrical Channels
Deposition of dispersed and ultradispersed solid particles in cylindrical channels has received considerable attention due to its practical significance and direct application in i...
Herbert Loria Molina, Pedro Pereira-Almao, Carlos ...
90
Voted
MA
2010
Springer
132views Communications» more  MA 2010»
14 years 7 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
AIME
2009
Springer
15 years 2 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
ICML
2008
IEEE
15 years 10 months ago
A distance model for rhythms
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Douglas Eck, Jean-François Paiement, Samy B...
ICASSP
2011
IEEE
14 years 1 months ago
Explicit recursivity into reproducing kernel Hilbert spaces
This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered ...
Devis Tuia, Gustavo Camps-Valls, Manel Martí...