Centroid estimation based on symmetric KL divergence for Multinomial text classification problem.
Jiangning ChenHeinrich MatzingerHaoyan ZhaiMi ZhouPublished in: CoRR (2018)
Keyphrases
- text classification
- kl divergence
- mahalanobis distance
- kullback leibler divergence
- naive bayes
- text categorization
- exponential family
- probability density
- feature selection
- bag of words
- information theoretic
- text mining
- machine learning
- text documents
- labeled data
- density estimation
- parameter estimation
- n gram
- gaussian distribution
- posterior distribution
- gaussian mixture
- knn
- information theory
- maximum likelihood
- noise model
- fisher information
- dissimilarity measure
- cross lingual
- markov random field
- information retrieval