Supervised dimension reduction with topic models.
Khoat ThanTu Bao HoDuy Khuong NguyenPham Ngoc KhanhPublished in: ACML (2012)
Keyphrases
- dimension reduction
- topic models
- unsupervised learning
- feature selection
- topic modeling
- latent dirichlet allocation
- feature extraction
- text mining
- high dimensional
- latent variables
- principal component analysis
- semi supervised
- generative model
- manifold learning
- dimensionality reduction
- high dimensionality
- supervised learning
- cluster analysis
- low dimensional
- text documents
- latent topics
- linear discriminant analysis
- co occurrence
- probabilistic model
- singular value decomposition
- learning algorithm
- high dimensional data
- latent topic models
- active learning
- feature space
- supervised dimensionality reduction
- text classification
- natural language processing
- least squares
- pairwise
- computer vision
- machine learning