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COLT
1997
Springer
15 years 6 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»
15 years 6 months 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»
15 years 3 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
15 years 8 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»
15 years 2 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...