The Assumption of Class-conditional Independence in Category Learning.
Jana JareckiBjörn MederJonathan D. NelsonPublished in: CogSci (2013)
Keyphrases
- conditional independence
- supervised learning
- learning algorithm
- learning bayesian networks
- inductive inference
- structure and parameter learning
- axiomatic characterization
- efficient learning
- graphical models
- parameter estimation
- random variables
- learning problems
- semi supervised
- reinforcement learning
- bayesian networks
- bayesian network structure
- bayes net
- bayes nets
- decision trees
- machine learning