Bayesian Reinforcement for a Probabilistic Neural Net Part-of-Speech Tagger.
Manolis MaragoudakisTodor GanchevNikos FakotakisPublished in: TSD (2004)
Keyphrases
- neural nets
- bayesian networks
- posterior probability
- feed forward
- neural network
- back propagation
- counter propagation
- backpropagation neural networks
- artificial neural networks
- decision theory
- probabilistic model
- generative model
- reinforcement learning
- single layer
- probability distribution
- real time
- learning tasks
- support vector
- maximum entropy
- machine learning
- generalized em algorithm