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NIPS
2003
15 years 2 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
ASC
2000
15 years 2 months ago
Extended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
ESANN
1998
15 years 2 months ago
Recurrent SOM with local linear models in time series prediction
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
FOGA
1994
15 years 2 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette
ICASSP
2010
IEEE
15 years 1 months ago
Predicting interruptions in dyadic spoken interactions
Interruptions occur frequently in spontaneous conversations, and they are often associated with changes in the flow of conversation. Predicting interruption is essential in the d...
Chi-Chun Lee, Shrikanth Narayanan