462 search results - page 9 / 93 » Learning DNF by Decision Trees |
IROS
2006
IEEE
15 years 5 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
15 years 3 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
16 years 2 days 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
16 years 2 days 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...
KBS
2002
14 years 11 months ago
2002
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...