46 search results - page 1 / 10 » SECRET: a scalable linear regression tree algorithm |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
ISMIS
2011
Springer
12 years 7 months ago
2011
Springer
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
ECML
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...