Gaussian Process for Dimensionality Reduction in Transfer Learning.
Bin TongJunbin GaoThach Huy NguyenEinoshin SuzukiPublished in: SDM (2011)
Keyphrases
- transfer learning
- gaussian process
- dimensionality reduction
- gaussian processes
- semi supervised
- labeled data
- semi supervised learning
- learning tasks
- high dimensional data
- regression model
- principal component analysis
- high dimensional
- unsupervised learning
- model selection
- bayesian framework
- approximate inference
- machine learning
- cross domain
- active learning
- hyperparameters
- pattern recognition
- structure learning
- latent variables
- low dimensional
- feature selection
- reinforcement learning
- unlabeled data
- text categorization
- collaborative filtering
- machine learning algorithms
- feature space
- feature extraction
- data points
- latent space
- multi task learning
- data analysis
- lower dimensional
- multi task
- kernel learning
- text classification
- learning algorithm
- support vector
- target domain
- data mining
- sparse representation
- pairwise
- prior knowledge
- supervised learning