495 search results - page 8 / 99 » Transfer Learning in Decision Trees |
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
SSPR
1998
Springer
13 years 12 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce a novel algorithm for decision tree learning in the multi-instance setting as originally defined by Dietterich et al. It differs from existing multi-instance tree lea...
AGI
2008
13 years 9 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...