Neural higher-order factors in conditional random fields for phoneme classification.
Martin RatajczakSebastian TschiatschekFranz PernkopfPublished in: INTERSPEECH (2015)
Keyphrases
- conditional random fields
- higher order
- hidden markov models
- named entity recognition
- random fields
- markov random field
- probabilistic model
- graphical models
- sequence labeling
- structured output
- pairwise
- markov models
- information extraction
- structured learning
- maximum entropy
- classification accuracy
- generative model
- crf model
- structured prediction
- support vector
- decision trees
- undirected graphical models
- semi markov
- segmentation method
- natural images
- support vector machine
- web page prediction
- training samples
- multi class classification
- approximate inference
- pattern classification
- data mining
- supervised learning
- learning algorithm
- machine learning