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CDC
2010
IEEE
101views Control Systems» more  CDC 2010»
14 years 6 months ago
Identification of mixed linear/nonlinear state-space models
The primary contribution of this paper is an algorithm capable of identifying parameters in certain mixed linear/nonlinear state-space models, containing conditionally linear Gauss...
Fredrik Lindsten, Thomas B. Schön
CSDA
2007
108views more  CSDA 2007»
14 years 11 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
JMLR
2010
129views more  JMLR 2010»
14 years 5 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
GLOBECOM
2007
IEEE
15 years 2 months ago
OFDMA Downlink Resource Allocation for Ergodic Capacity Maximization with Imperfect Channel Knowledge
In this paper, we derive an optimal resource allocation algorithm for ergodic weighted-sum capacity maximization in OFDMA systems assuming the availability of only partial (imperfe...
Ian C. Wong, Brian L. Evans
ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 5 months ago
Maximum likelihood estimation of sensor and action model functions on a mobile robot
— In order for a mobile robot to accurately interpret its sensations and predict the effects of its actions, it must have accurate models of its sensors and actuators. These mode...
Daniel Stronger, Peter Stone