Generalization in multitask deep neural classifiers: a statistical physics approach.
Tyler LeeAnthony NdirangoPublished in: CoRR (2019)
Keyphrases
- multi task
- statistical physics
- learning curves
- game theory
- feature selection
- multi task learning
- information theory
- multitask learning
- gaussian processes
- learning tasks
- belief propagation
- training data
- multi class
- support vector
- computer science
- graphical models
- learning problems
- decision trees
- naive bayes
- transfer learning
- information gain
- average case
- training set
- information theoretic
- machine learning algorithms
- training examples
- class labels
- graph cuts
- markov random field
- mutual information
- machine learning