1248 search results - page 13 / 250 » Decision Tree Grafting |
99
Voted
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
219
click to vote
CP
2009
Springer
16 years 12 days 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
15 years 1 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 3 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 11 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...