495 search results - page 4 / 99 » Transfer Learning in Decision Trees |
ECML
2007
Springer
13 years 11 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...
COLT
2003
Springer
14 years 1 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 ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
DATAMINE
2010
13 years 7 months ago
2010
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE