86 search results - page 9 / 18 » Visualizing Bagged Decision Trees |
CAEPIA
2003
Springer
15 years 3 months ago
2003
Springer
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
ECML
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
102
click to vote
TCBB
2010
14 years 4 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
ECCV
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
BIBE
2005
IEEE
15 years 3 months ago
2005
IEEE
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...