180 search results - page 1 / 36 » Active Learning for Class Probability Estimation and Ranking |
IJCAI
2001
13 years 6 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...