963 search results - page 2 / 193 » Active Learning by Labeling Features |
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
AAAI
1997
13 years 6 months ago
1997
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. The aim of this paper is to learn driving behaviour by associating the actions recorded from a human driver with pre-attentive visual input, implemented using holistic im...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...