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TEC
2008
115views more  TEC 2008»
13 years 6 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
BMCBI
2005
131views more  BMCBI 2005»
13 years 6 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
JAIR
2002
163views more  JAIR 2002»
13 years 6 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
RC
2007
128views more  RC 2007»
13 years 5 months ago
Bounds on Generalized Linear Predictors with Incomplete Outcome Data
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
Jörg Stoye
CGI
2003
IEEE
13 years 11 months ago
Compressing Texture Coordinates with Selective Linear Predictions
In this paper we describe a strategy for efficient predictive compression of texture coordinates. Previous works in mesh compression often claim that this mesh property can simpl...
Martin Isenburg, Jack Snoeyink