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COLT
1997
Springer
14 years 1 months ago
General Convergence Results for Linear Discriminant Updates
The problem of learning linear discriminant concepts can be solved by various mistake-driven update procedures, including the Winnow family of algorithms and the well-known Percep...
Adam J. Grove, Nick Littlestone, Dale Schuurmans
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
14 years 21 days ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 10 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
ICIAR
2009
Springer
14 years 3 months ago
Detection of Linear Structures in Remote-Sensed Images
Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the require...
Rui Gao, Walter F. Bischof
AUTOMATICA
2006
63views more  AUTOMATICA 2006»
13 years 9 months ago
Inference of disjoint linear and nonlinear sub-domains of a nonlinear mapping
This paper investigates new ways of inferring nonlinear dependence from measured data. The existence of unique linear and nonlinear sub-spaces which are structural invariants of g...
Douglas J. Leith, William E. Leithead, Roderick Mu...