conditional random fields造句

例句与造句

1. Other common models in use are the maximum entropy Markov model and conditional random field.
2. A variant of the previously described discriminative model is the linear-chain conditional random field.
3. Discriminative : Logistic regression, Support Vector Machines, Maximum Entropy Markov Model, Conditional Random Fields, Neural Networks
4. He is best known for proposing the Conditional Random Fields with Andrew McCallum and Fernando C . N . Pereira.
5. Another advantage of MEMMs versus HMMs and conditional random fields ( CRFs ) is that training can be considerably more efficient.
6. It's difficult to find conditional random fields in a sentence. 用conditional random fields造句挺难的
7. Many different classifier types have been used to perform machine-learned NER, with conditional random fields being a typical choice.
8. They build a discriminative model using hidden Markov support vector machines or conditional random fields to learn an accurate gene prediction scoring function.
9. He developed the open source software LaSVM for fast large-scale support vector machine, and stochastic gradient descent software for training linear SVM and Conditional Random Fields.
10. Conventional temporal probabilistic models such as the hidden Markov model ( HMM ) and conditional random fields ( CRF ) model directly model the correlations between the activities and the observed sensor data.
11. Several kinds of random fields exist, among them the Markov random field ( MRF ), Gibbs random field ( GRF ), conditional random field ( CRF ), and Gaussian random field.
12. *Erdogan H ., . " Sequence labeling : generative and discriminative approaches, hidden Markov models, conditional random fields and structured SVMs, " ICMLA 2010 tutorial, Bethesda, MD ( 2010)
13. It uses historical and real-time air data, meteorology, traffic flow, human mobility, road networks, and points of interest, which are fed to artificial neural networks and conditional random fields to be processed.
14. There are some researchers who did some comparisons about the NER performances from different statistical models such as HMM ( Hidden Markov Model ), ME ( Maximum Entropy ), and CRF ( Conditional Random Fields ) and feature sets.
15. Research involving the use of artificial neural networks ( ANN ) and conditional random fields ( CRF ) has shown that air pollution for a large area can be predicted based on the data from a small number of air pollution monitoring stations.
16. The observables are modelled as conditional random fields, I ^ { D _ i } a random field with mean field \ phi _ i \ cdot I \ doteq \ phi _ i \ cdot \ phi _ 0 \ cdot I _ 0.
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