DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.
Måns MagnussonLeif JonssonMattias VillaniPublished in: Comput. Stat. (2020)
Keyphrases
- multi class
- topic models
- high dimensional
- weakly supervised
- latent dirichlet allocation
- feature selection
- regression model
- text mining
- feature space
- support vector machine
- dimensionality reduction
- generative model
- latent variables
- semi supervised
- learning algorithm
- model selection
- binary classification
- probabilistic model
- supervised learning
- pairwise
- unsupervised learning
- machine learning
- least squares
- multi class classification
- object detection
- binary classifiers
- high dimensional data
- data points
- sparse coding
- input space
- cost sensitive
- support vector
- max margin
- text categorization
- training samples
- knowledge discovery
- co occurrence