249 search results - page 18 / 50 » Semi-Supervised Multitask Learning |
AAAI
2012
11 years 10 months 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 9 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 7 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 9 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 5 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...