Transfer learning using a nonparametric sparse topic model.
Ali FaisalJussi GillbergGayle LeenJaakko PeltonenPublished in: Neurocomputing (2013)
Keyphrases
- transfer learning
- topic models
- text mining
- latent dirichlet allocation
- topic modeling
- hierarchical bayesian model
- learning tasks
- text documents
- labeled data
- probabilistic model
- machine learning
- generative model
- active learning
- text classification
- hierarchical bayesian
- reinforcement learning
- latent variables
- multi task learning
- co occurrence
- latent topics
- semi supervised learning
- gibbs sampling
- data mining
- transfer knowledge
- variational inference
- multi task
- structure learning
- learning algorithm
- collaborative filtering
- high dimensional
- unlabeled data
- cross lingual
- artificial intelligence
- machine learning algorithms
- dirichlet process
- supervised learning