Maximum Entropy Markov Model
GPTKB entity
Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:applies_to |
Natural language processing
|
| gptkbp:based_on |
Maximum entropy principle
|
| gptkbp:can |
Temporal dependencies
|
| gptkbp:can_be_combined_with |
Other models
|
| gptkbp:can_handle |
Large feature spaces
|
| gptkbp:developed_by |
Lafferty, Mc Callum, and Pereira
|
| https://www.w3.org/2000/01/rdf-schema#label |
Maximum Entropy Markov Model
|
| gptkbp:input_output |
Probabilities of sequences
|
| gptkbp:is_applied_in |
Bioinformatics
Epidemiology Speech recognition Market research Social network analysis |
| gptkbp:is_based_on |
Log-linear models
|
| gptkbp:is_characterized_by |
Conditional independence assumptions
|
| gptkbp:is_evaluated_by |
Cross-validation
F1 score AUC-ROC Precision and recall Mean squared error Confusion matrix Log-likelihood K-fold cross-validation Log-likelihood ratio test Test datasets |
| gptkbp:is_implemented_in |
gptkb:Python
gptkb:R Various programming languages Machine learning libraries |
| gptkbp:is_influenced_by |
Statistical mechanics
|
| gptkbp:is_optimized_for |
Regularization techniques
|
| gptkbp:is_popular_in |
Machine learning community
|
| gptkbp:is_related_to |
gptkb:Artificial_Intelligence
Data mining Hidden Markov Model Bayesian inference Predictive modeling Feature selection Markov processes Statistical learning theory |
| gptkbp:is_similar_to |
Conditional Random Fields
|
| gptkbp:is_trained_in |
Labeled data
Training datasets Annotated corpora |
| gptkbp:is_used_for |
Sentiment analysis
Information extraction Anomaly detection Fraud detection Named entity recognition Customer segmentation Text mining |
| gptkbp:is_used_in |
Text classification
Computer vision Quality control Game theory Financial modeling Healthcare analytics Recommendation systems Part-of-speech tagging |
| gptkbp:requires |
Training data
|
| gptkbp:training |
Maximum likelihood estimation
Online learning Stochastic gradient descent Batch learning Gradient ascent |
| gptkbp:used_for |
Sequence labeling
|
| gptkbp:utilizes |
Feature functions
|
| gptkbp:bfsParent |
gptkb:Stanford_Named_Entity_Recognizer
|
| gptkbp:bfsLayer |
6
|