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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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ICML
2000
IEEE
15 years 10 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
DAC
2005
ACM
15 years 10 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
82
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ECML
2007
Springer
15 years 3 months ago
Imitation Learning Using Graphical Models
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Deepak Verma, Rajesh P. N. Rao
PAMI
2008
140views more  PAMI 2008»
14 years 9 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ICIC
2005
Springer
15 years 3 months ago
A Nonlinear Adaptive Predictive Control Algorithm Based on OFS Model
Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple s...
Haitao Zhang, Zonghai Chen, Ming Li, Wei Xiang, Ti...