A Spectral Regularization Framework for Multi-Task Structure Learning.
Andreas ArgyriouCharles A. MicchelliMassimiliano PontilYiming YingPublished in: NIPS (2007)
Keyphrases
- structure learning
- multi task
- regularization framework
- transfer learning
- metric learning
- semi supervised learning
- learning tasks
- multi task learning
- labeled data
- semi supervised
- bayesian networks
- labeled and unlabeled data
- graphical models
- unlabeled data
- learning problems
- active learning
- machine learning
- collaborative filtering
- text categorization
- learning algorithm
- energy function
- unsupervised learning
- text classification
- supervised learning
- parameter estimation
- weighted graph
- multi class
- reinforcement learning
- feature selection
- sample size
- probabilistic model
- information extraction