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GMP
2006
IEEE
131views Solid Modeling» more  GMP 2006»
15 years 3 months ago
Least-Squares Approximation by Pythagorean Hodograph Spline Curves Via an Evolution Process
The problem of approximating a given set of data points by splines composed of Pythagorean Hodograph (PH) curves is addressed. In order to solve this highly non-linear problem, we ...
Martin Aigner, Zbynek Sír, Bert Jüttle...
CJ
1998
118views more  CJ 1998»
14 years 9 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
83
Voted
TEC
2008
115views more  TEC 2008»
14 years 9 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
SIAMNUM
2011
328views more  SIAMNUM 2011»
14 years 4 months ago
First-Order System Least Squares for Coupled Stokes-Darcy Flow
The coupled problem with Stokes flow in one subdomain and a Darcy flow model in a second subdomain is studied in this paper. Both flow problems are treated as first-order syste...
Steffen Münzenmaier, Gerhard Starke
NIPS
2001
14 years 10 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