Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture.
Vasyl V. KovalishynIgor V. TetkoAlexander I. LuikVladyslav V. KholodovychAlessandro E. P. VillaDavid J. LivingstonePublished in: J. Chem. Inf. Comput. Sci. (1998)
Keyphrases
- cascade correlation
- neural network
- variable selection
- recurrent neural networks
- back propagation
- constructive neural networks
- learning algorithm
- active learning
- pattern recognition
- artificial neural networks
- supervised learning
- learning problems
- feed forward
- reinforcement learning
- least squares
- model selection
- learning tasks
- neural network model
- decision trees
- input variables
- multi task learning
- image processing