313 search results - page 6 / 63 » Hierarchical sampling for active learning |
ALT
2010
Springer
14 years 9 days ago
2010
Springer
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
COLT
2006
Springer
14 years 2 months ago
2006
Springer
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...
ECIR
2003
Springer
14 years 4 days ago
2003
Springer
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
ICPR
2002
IEEE
14 years 3 months ago
2002
IEEE
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
AI
2004
Springer
13 years 10 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...