Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models.
Ardavan Salehi NobandeganiThomas R. ShultzPublished in: CoRR (2017)
Keyphrases
- generative model
- neural nets
- cascade correlation
- back propagation
- neural network
- feed forward
- probabilistic model
- artificial neural networks
- recurrent neural networks
- posterior probability
- maximum entropy principle
- discriminative models
- discriminative learning
- em algorithm
- prior knowledge
- conditional random fields
- learning tasks
- fuzzy logic
- semi supervised
- learning algorithm
- artificial intelligence
- genetic algorithm
- hierarchical hidden markov models
- learning experience
- topic models
- text mining
- control system
- computer vision
- information retrieval