572 search results - page 24 / 115 » Isotonic Classification Trees |
ECML
2006
Springer
14 years 13 days ago
2006
Springer
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
CATA
2004
13 years 10 months ago
2004
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
NJC
2000
13 years 8 months ago
2000
In order to deal with infinite regular trees (or other pointed graph structures) efficiently, we give new algorithms to store such structures. The trees are stored in such a way th...
IDEAL
2000
Springer
14 years 10 days ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
SIGCOMM
2010
ACM
13 years 9 months ago
2010
ACM
Packet Classification is a key functionality provided by modern routers. Previous decision-tree algorithms, HiCuts and HyperCuts, cut the multi-dimensional rule space to separate ...