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» On Bounded Queries and Approximation
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NIPS
2007
15 years 8 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht
ESANN
2004
15 years 8 months ago
Linearization identification and an application to BSS using a SOM
The one-dimensional functional equation g(y(t)) = cg(z(t)) with known functions y and z and constant c is considered. The indeterminacies are calculated, and an algorithm for appro...
Fabian J. Theis, Elmar Wolfgang Lang
NIPS
2004
15 years 8 months ago
Efficient Kernel Machines Using the Improved Fast Gauss Transform
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
UAI
1992
15 years 8 months ago
Interval Structure: A Framework for Representing Uncertain Information
In this paper, a unified framework for representing uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approximat...
S. K. Michael Wong, Lusheng Wang, Yiyu Yao
AUTOMATICA
2006
97views more  AUTOMATICA 2006»
15 years 6 months ago
A model reference approach to safe controller changes in iterative identification and control
A controller change from a current controller which stabilises the plant to a new controller, designed on the basis of an approximate model of the plant and with guaranteed bounds...
A. Lecchini, Alexander Lanzon, Brian D. O. Anderso...