319 search results - page 1 / 64 » Two-view feature generation model for semi-supervised learni... |
ICML
2010
IEEE
13 years 5 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...
BIOCOMP
2007
13 years 6 months ago
2007
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
IJCAI
2007
13 years 5 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
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 5 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...