69 search results - page 10 / 14 » Random Sampling of Labeled Tournaments |
JIFS
2008
13 years 8 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
ALT
2006
Springer
14 years 5 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...