𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A hierarchical multiple classifier learning algorithm

✍ Scribed by Y.-Y. Chou; L. G. Shapiro


Publisher
Springer-Verlag
Year
2003
Tongue
English
Weight
473 KB
Volume
6
Category
Article
ISSN
1433-7541

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


An iterative algorithm learning the maxi
✍ VojtΔ›ch Franc; VΓ‘clav HlavÑč πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 444 KB

A simple learning algorithm for maximal margin classiΓΏers (also support vector machines with quadratic cost function) is proposed. We build our iterative algorithm on top of the Schlesinger-Kozinec algorithm (S-K-algorithm) from 1981 which ΓΏnds a maximal margin hyperplane with a given precision for

Fidelity Estimation for a Hierarchical C
✍ P. Hufnagl; K. Voss πŸ“‚ Article πŸ“… 1985 πŸ› John Wiley and Sons 🌐 English βš– 377 KB

To estimate the correct classification rate of a classifier, many different methods exkt (test fample, bootstrap, cross validation). The test sample is a method with very small expense. Sometimes, only a small number of objects is available (seldom diseases, high costs for experiments). When we spli

Learning classifier systems: a survey
✍ Olivier Sigaud; Stewart W. Wilson πŸ“‚ Article πŸ“… 2007 πŸ› Springer 🌐 English βš– 334 KB