775 search results - page 79 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
ICML
1994
IEEE
13 years 11 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
CDC
2009
IEEE
13 years 11 months ago
2009
IEEE
A novel method is developed to obtain a refined estimate of relative position and orientation (pose) from two views captured by a calibrated monocular camera. Due to the typically ...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
EMNLP
2009
13 years 5 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
ICCVW
1999
Springer
13 years 12 months ago
1999
Springer
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...