691 search results - page 11 / 139 » Constructing Ensembles from Data Envelopment Analysis |
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Grafted trees are trees that are constructed using two methods. The first method creates an initial tree, while the second method is used to complete the tree. In this work, the fi...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
IDA
2007
Springer
14 years 1 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
IDA
2010
Springer
13 years 6 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...