Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms.
Pierre DupontFrançois DenisYann EspositoPublished in: Pattern Recognit. (2005)
Keyphrases
- hidden markov models
- learning models
- induction algorithms
- probability distribution
- conditional random fields
- learning problems
- decision trees
- finite automata
- learning algorithm
- regression trees
- machine learning
- machine learning algorithms
- data sets
- learning tasks
- classification models
- loss function
- feature selection
- kernel methods
- semi supervised learning
- data mining
- naive bayes
- text mining
- supervised learning
- information extraction
- state space
- data points
- probabilistic model
- evolutionary algorithm
- reinforcement learning