180 search results - page 13 / 36 » Active Learning for Class Probability Estimation and Ranking |
NIPS
1994
13 years 8 months ago
1994
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
JMLR
2008
13 years 7 months ago
2008
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
PAMI
2006
13 years 7 months ago
2006
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...