1704 search results - page 7 / 341 » Learning nonlinear dynamic models |
81
Voted
ECML
2005
Springer
15 years 4 months ago
2005
Springer
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
118
Voted
ICTAI
2005
IEEE
15 years 4 months ago
2005
IEEE
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
75
Voted
ICTAI
2003
IEEE
15 years 4 months ago
2003
IEEE
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the...
80
Voted
IJON
1998
14 years 10 months ago
1998
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
UAI
2004
15 years 9 days ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...