72 search results - page 2 / 15 » Decision tree and instance-based learning for label ranking |
101
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
113
Voted
ICASSP
2010
IEEE
15 years 22 days ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
106
Voted
AUSAI
2006
Springer
15 years 4 months ago
2006
Springer
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
110
Voted
ICML
2003
IEEE
15 years 5 months ago
2003
IEEE
AUC(Area Under the Curve) of ROC(Receiver Operating Characteristics) has been recently used as a measure for ranking performanceof learning algorithms. In this paper, wepresent a ...
106
Voted
KDD
2009
ACM
16 years 1 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...