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» Nonlinear functional regression: a functional RKHS approach
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ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 1 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
AUTOMATICA
2007
93views more  AUTOMATICA 2007»
13 years 6 months ago
Development of omni-directional correlation functions for nonlinear model validation
In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation ...
Quan Min Zhu, Li Feng Zhang, Ashley Longden
EOR
2007
89views more  EOR 2007»
13 years 6 months ago
Note: An application of the EOQ model with nonlinear holding cost to inventory management of perishables
In this note, we consider a variation of the economic order quantity (EOQ) model where cumulative holding cost is a nonlinear function of time. This problem has been studied by We...
Mark Ferguson, Vaidy Jayaraman, Gilvan C. Souza
CDC
2009
IEEE
200views Control Systems» more  CDC 2009»
13 years 11 months ago
Control of nonlinear systems with full state constraint using a Barrier Lyapunov Function
— This paper presents a control for state-constrained nonlinear systems in strict feedback form to achieve output tracking. To prevent states from violating the constraints, we e...
Keng Peng Tee, Shuzhi Sam Ge
ICML
2005
IEEE
14 years 7 months ago
Beyond the point cloud: from transductive to semi-supervised learning
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin