Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions
Barnabás PóczosLiang XiongJeff G. SchneiderPublished in: CoRR (2012)
Keyphrases
- machine learning
- parametric models
- kullback leibler
- probability density
- nonparametric regression
- parzen window
- kernel density estimation
- kl divergence
- machine learning approaches
- learning algorithm
- natural language processing
- pattern recognition
- machine learning algorithms
- information extraction
- machine learning methods
- parameter estimation
- data driven
- model selection
- statistical inference
- density estimation
- accurate estimation
- computer science
- data mining
- estimation algorithm
- probability density function
- inductive learning
- active learning
- learning problems
- statistical methods
- information theoretic
- estimation accuracy
- random variables
- exponential family
- learning systems
- computational intelligence
- estimation process
- computer vision
- supervised learning
- probability distribution