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» Learning nonlinear dynamic models
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DSP
2007
13 years 8 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
CMSB
2008
Springer
13 years 10 months ago
Automatic Complexity Analysis and Model Reduction of Nonlinear Biochemical Systems
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
Dirk Lebiedz, Dominik Skanda, Marc Fein
ICINCO
2004
153views Robotics» more  ICINCO 2004»
13 years 10 months ago
Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems
This paper presents an Iterative Linear Quadratic Regulator (ILQR) method for locally-optimal feedback control of nonlinear dynamical systems. The method is applied to a musculo-s...
Weiwei Li, Emanuel Todorov
ICIP
2007
IEEE
14 years 10 days ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
NIPS
2003
13 years 9 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh