1661 search results - page 9 / 333 » Decision Tree Fields |
194
click to vote
CP
2009
Springer
15 years 10 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
DIS
2008
Springer
14 years 11 months ago
2008
Springer
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
SAC
2002
ACM
14 years 9 months ago
2002
ACM
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
COLT
2003
Springer
15 years 2 months ago
2003
Springer
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...