180 search results - page 6 / 36 » Active Learning for Class Probability Estimation and Ranking |
NIPS
2000
13 years 8 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
COLT
2004
Springer
14 years 23 days ago
2004
Springer
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
NIPS
2007
13 years 8 months ago
2007
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...