180 search results - page 4 / 36 » Active Learning for Class Probability Estimation and Ranking |
ML
2002
ACM
13 years 7 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
ICML
2003
IEEE
14 years 19 days 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 ...
ECML
2003
Springer
14 years 18 days ago
2003
Springer
Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...