1275 search results - page 117 / 255 » Chunking with Decision Trees |
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
IDA
2005
Springer
14 years 3 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
ILP
2004
Springer
14 years 3 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
METMBS
2004
13 years 11 months ago
2004
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
RA
2003
13 years 11 months ago
2003
Behavioural cloning is a method by which a machine learns control skills through observing what a human controller would do in a certain set of circumstances. More specifically, t...