75 search results - page 7 / 15 » A general regression technique for learning transductions |
CGF
2010
13 years 9 months ago
2010
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
MCS
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evo...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
NIPS
1996
13 years 10 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...