Topic graph based transfer learning via generalized KL divergence based NMF.
Keigo KimuraTetsuya YoshidaPublished in: GrC (2011)
Keyphrases
- transfer learning
- kl divergence
- probabilistic latent semantic analysis
- kullback leibler divergence
- negative matrix factorization
- learning tasks
- mahalanobis distance
- latent dirichlet allocation
- information theoretic
- labeled data
- knowledge transfer
- topic models
- topic modeling
- gaussian mixture
- cross domain
- semi supervised
- reinforcement learning
- machine learning
- semi supervised learning
- collaborative filtering
- text mining
- text categorization
- gaussian distribution
- machine learning algorithms
- active learning
- text classification
- matrix factorization
- data sets
- exponential family
- information retrieval
- posterior distribution
- multi task
- document clustering
- learning algorithm
- co occurrence
- training data
- probability density function
- visual features
- recommender systems
- latent topics
- feature selection