818 search results - page 2 / 164 » On Discriminative Semi-Supervised Classification |
ICASSP
2010
IEEE
13 years 5 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...
EMNLP
2007
13 years 6 months ago
2007
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
CIDU
2010
13 years 3 months ago
2010
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
FLAIRS
2007
13 years 7 months ago
2007
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome t...