Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations.
Kirthevasan KandasamyAkshay KrishnamurthyBarnabás PóczosLarry A. WassermanJames M. RobinsPublished in: CoRR (2014)
Keyphrases
- machine learning
- feature selection
- computer vision
- data driven
- machine learning methods
- pattern recognition
- kernel density estimator
- knowledge acquisition
- information theoretic
- explanation based learning
- learning tasks
- learning algorithm
- decision trees
- data mining
- natural language processing
- information extraction
- artificial intelligence
- semi supervised learning
- supervised learning
- learning problems
- computer science
- social influence
- statistical inference
- bayesian approaches