499 search results - page 10 / 100 » Decision Trees for Functional Variables |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tre...
ISMVL
2000
IEEE
13 years 12 months ago
2000
IEEE
Multiple-valued decision diagrams (MDDs) give a way of approaching problems by using symbolic variables which are often more naturally associated with the problem statement than t...
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
EUROPAR
2007
Springer
14 years 1 months ago
2007
Springer
Selecting the close-to-optimal collective algorithm based on the parameters of the collective call at run time is an important step for achieving good performance of MPI applicatio...
CSDA
2007
13 years 7 months ago
2007
The problem of building a regression tree is considered when the response variable is a probability density function. Splitting criteria which are well adapted to measure the diss...