Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters.
Matteo GiudiciFilippo QueiroloMaurizio VallePublished in: ICANN (2002)
Keyphrases
- hand written
- supervised learning algorithms
- chinese characters
- adaptive learning rate
- printed characters
- character segmentation
- learning rate
- learning algorithm
- character recognition
- supervised learning
- neural network
- learning problems
- unlabeled data
- machine learning algorithms
- semi supervised learning
- labeled data
- globally convergent
- convergence rate
- binary classification problems
- training data
- semi supervised
- computer vision
- machine learning