352 search results - page 3 / 71 » A Fast Decision Tree Learning Algorithm |
COLING
1996
13 years 8 months ago
1996
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
PRICAI
2000
Springer
13 years 11 months ago
2000
Springer
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...