Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning.
Masashi SugiyamaSong LiuMarthinus Christoffel du PlessisMasao YamanakaMakoto YamadaTaiji SuzukiTakafumi KanamoriPublished in: J. Comput. Sci. Eng. (2013)
Keyphrases
- machine learning
- probability distribution
- random variables
- data mining
- pattern recognition
- machine learning methods
- explanation based learning
- learning algorithm
- decision trees
- knowledge acquisition
- text mining
- conditional probabilities
- learning tasks
- inductive learning
- posterior distribution
- text classification
- computational intelligence
- natural language processing
- supervised learning
- knowledge discovery
- relative error
- computer vision
- neural network
- queueing networks
- kullback leibler
- probability mass
- error bounds
- learning problems
- closed form
- maximum likelihood
- mutual information
- information extraction
- special case
- natural language
- artificial intelligence