Multilevel neuronal architecture to resolve classification problems with large training sets: Parallelization of the training process.
Francisco Javier Martínez LópezJosé Antonio Torres ArriazaSergio Martínez PuertasMaría Mercedes Peralta LópezPublished in: J. Comput. Sci. (2016)
Keyphrases
- training process
- training data
- training set
- neural network
- adaboost algorithm
- training algorithm
- parallel processing
- support vector machine
- neural network structure
- management system
- classification accuracy
- software architecture
- active learning
- real time
- least squares
- supervised learning
- training samples
- learning process
- artificial neural networks
- hardware architecture
- structured learning
- kernel parameters
- testing process