13 search results - page 1 / 3 » Orthogonal Least Square with Boosting for Regression |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
ESANN
2006
13 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...