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» GMRES Methods for Least Squares Problems
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PRL
2011
13 years 2 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
CJ
1998
118views more  CJ 1998»
13 years 7 months ago
Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
Boris Mirkin
NIPS
2001
13 years 8 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
SMI
2006
IEEE
122views Image Analysis» more  SMI 2006»
14 years 1 months ago
A Constrained Least Squares Approach to Interactive Mesh Deformation
In this paper, we propose a constrained least squares approach for stably computing Laplacian deformation with strict positional constraints. In the existing work on Laplacian def...
Yasuhiro Yoshioka, Hiroshi Masuda, Yoshiyuki Furuk...
SIAMMAX
2010
116views more  SIAMMAX 2010»
13 years 2 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