28 search results - page 1 / 6 » Learning Accurate, Compact, and Interpretable Tree Annotatio... |
ACL
2006
13 years 6 months ago
2006
We present an automatic approach to tree annotation in which basic nonterminal symbols are alternately split and merged to maximize the likelihood of a training treebank. Starting...
ICML
1999
IEEE
14 years 6 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...
ECML
2007
Springer
13 years 9 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...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...