Towards more practical average bounds on supervised learning.
Hanzhong GuHaruhisa TakahashiPublished in: IEEE Trans. Neural Networks (1996)
Keyphrases
- supervised learning
- unsupervised learning
- upper bound
- training set
- practical application
- reinforcement learning
- active learning
- training data
- vc dimension
- sample complexity
- lower bound
- standard deviation
- learning algorithm
- error bounds
- upper and lower bounds
- learning tasks
- tight bounds
- lower and upper bounds
- learning machines
- real time
- training examples
- training samples
- semi supervised learning
- semi supervised
- search algorithm
- multiscale
- social networks
- information retrieval
- machine learning
- databases