An Adaptive Regularization Criterion for Supervised Learning.
Dale SchuurmansFinnegan SoutheyPublished in: ICML (2000)
Keyphrases
- supervised learning
- optimization criterion
- unsupervised learning
- training data
- learning tasks
- regularization methods
- minimum description length
- regularization parameter
- learning problems
- semi supervised learning
- statistical learning
- training examples
- supervised classification
- multiple instance learning
- active learning
- learning algorithm
- parameter selection
- inverse problems
- supervised machine learning
- regularization framework
- semi supervised
- training set
- feature selection
- projection operator
- data mining
- mixed norm
- convex optimization
- unlabeled data
- labeled data
- mutual information
- machine learning