Sparse Nonparametric Topic Model for Transfer Learning.

Ali Faisal Jussi Gillberg Jaakko Peltonen Gayle Leen Samuel Kaski

Published in: ESANN (2012)

Keyphrases

transfer learning
topic models
text mining
topic modeling
latent dirichlet allocation
hierarchical bayesian model
learning tasks
machine learning
labeled data
reinforcement learning

text classification
probabilistic model
latent variables
collaborative filtering
structure learning
text documents
co occurrence
active learning
multi task learning

gibbs sampling
learning algorithm
multi task
latent topics
variational inference
hierarchical bayesian
high dimensional
text categorization
generative model

transfer knowledge
machine learning algorithms
knowledge discovery
dirichlet process
cross lingual
unlabeled data
data analysis
object recognition
feature selection