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» Hyperaccurate Least Squares and Its Applications
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CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
13 years 1 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
VLUDS
2010
187views Visualization» more  VLUDS 2010»
13 years 1 months ago
On Moving Least Squares Based Flow Visualization
Modern simulation and measurement methods tend to produce meshfree data sets if modeling of processes or objects with free surfaces or boundaries is desired. In Computational Flui...
Harald Obermaier, Martin Hering-Bertram, Jörg...
NIPS
2001
13 years 7 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
SIAMMAX
2010
116views more  SIAMMAX 2010»
13 years 1 months ago
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares
Abstract. Linear inverse problems with uncertain measurement matrices appear in many different applications. One of the standard techniques for solving such problems is the total l...
Amir Beck, Yonina C. Eldar
TIP
2010
155views more  TIP 2010»
13 years 4 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He