Semi-supervised learning via penalized mixture model with application to microarray sample classification.
Wei PanXiaotong ShenAixiang JiangRobert P. HebbelPublished in: Bioinform. (2006)
Keyphrases
- semi supervised learning
- mixture model
- microarray
- unlabeled samples
- unsupervised learning
- semi supervised
- supervised learning
- semi supervised classification
- model selection
- gene expression
- unlabeled data
- labeled data
- high throughput
- maximum likelihood
- expectation maximization
- high dimensionality
- machine learning
- gene expression profiles
- em algorithm
- generative model
- microarray data
- gene expression data
- labeled and unlabeled data
- probabilistic model
- training data
- active learning
- dimension reduction
- class labels
- feature selection
- text classification
- language model
- classification models
- support vector
- learning algorithm
- cluster analysis
- transfer learning
- training samples
- image processing
- dimensionality reduction
- classification accuracy
- high dimensional
- pairwise