Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models.
Ardavan Salehi NobandeganiThomas R. ShultzPublished in: CogSci (2017)
Keyphrases
- generative model
- neural nets
- cascade correlation
- back propagation
- neural network
- feed forward
- probabilistic model
- artificial neural networks
- posterior probability
- recurrent neural networks
- em algorithm
- learning algorithm
- discriminative learning
- prior knowledge
- maximum entropy principle
- hierarchical hidden markov models
- semi supervised
- conditional random fields
- fuzzy logic
- genetic algorithm
- learning tasks
- expectation maximization
- maximum entropy
- object recognition
- discriminative models
- active learning
- machine learning
- discriminative methods
- computer vision
- image processing
- bayesian networks
- kernel methods
- topic models
- machine learning algorithms
- graphical models