On the posterior-probability estimate of the error rate of nonparametric classification rules.
Gábor LugosiMiroslaw PawlakPublished in: IEEE Trans. Inf. Theory (1994)
Keyphrases
- error rate
- classification rules
- posterior probability
- rule sets
- bayesian networks
- genetic programming
- decision trees
- bayesian framework
- generative model
- probabilistic model
- probability distribution
- classification algorithm
- association rules
- nearest neighbor
- probability density function
- conditional probabilities
- lower error rates
- human experts
- prior knowledge
- feature vectors
- feature extraction
- face recognition
- data mining
- neural network
- rule discovery
- data sets