502 search results - page 9 / 101 » Learning from General Label Constraints |
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
WSDM
2009
ACM
14 years 4 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
KDD
2009
ACM
14 years 10 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...
KDD
2005
ACM
14 years 3 months ago
2005
ACM
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...