Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining.
Han-Shen HuangYu-Ming ChangChun-Nan HsuPublished in: ICDM (2007)
Keyphrases
- conditional random fields
- step size
- text mining
- information extraction
- structured prediction
- stochastic gradient descent
- error correcting output coding
- convergence rate
- sequence labeling
- convergence speed
- cost function
- probabilistic model
- web page prediction
- hidden markov models
- higher order
- graphical models
- markov random field
- natural language processing
- crf model
- variable step size
- named entity recognition
- information retrieval
- generative model
- pairwise
- text classification
- maximum margin
- machine learning
- named entities
- training process
- weighted sums
- graph cuts
- least squares
- multi class
- multi objective
- bayesian networks
- image processing
- genetic algorithm