182 search results - page 18 / 37 » Budget Semi-supervised Learning |
AAAI
2012
12 years 7 days ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
AAAI
2010
13 years 11 months ago
2010
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
CVPR
2005
IEEE
14 years 12 months ago
2005
IEEE
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
EMNLP
2010
13 years 7 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...