59 search results - page 6 / 12 » A Comparison of Decision Tree Ensemble Creation Techniques |
BIOID
2008
13 years 9 months ago
2008
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
VLDB
1999
ACM
13 years 12 months ago
1999
ACM
As random access memory gets cheaper, it becomes increasingly affordable to build computers with large main memories. We consider decision support workloads within the context of...
MCS
2004
Springer
14 years 29 days ago
2004
Springer
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
SAC
2005
ACM
14 years 1 months ago
2005
ACM
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...