94 search results - page 1 / 19 » Boosting Lazy Decision Trees |
ICML
2003
IEEE
14 years 12 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
ICML
1999
IEEE
14 years 12 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
IJCAI
2007
14 years 18 days ago
2007
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
ICML
2000
IEEE
14 years 12 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
IJCAI
2001
14 years 16 days ago
2001
The automatic generation of diagnostic decision trees from qualitative models is a reasonable compromise between the advantages of using a modelbased approach in technical domains...