1275 search results - page 11 / 255 » Chunking with Decision Trees |
FLAIRS
2007
13 years 10 months ago
2007
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
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, ...
AAAI
2006
13 years 9 months ago
2006
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, ...
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...
PAMI
1998
13 years 7 months ago
1998
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...