Understanding the Principles of Recursive Neural networks: A Generative Approach to Tackle Model Complexity
Alejandro ChineaPublished in: CoRR (2009)
Keyphrases
- mathematical model
- probability distribution
- prior knowledge
- machine learning
- probabilistic model
- similarity measure
- high level
- maximum likelihood
- theoretical framework
- feature vectors
- hidden markov models
- feature selection
- management system
- process model
- neural network
- statistical model
- agent model
- recursive neural networks