Non-parametric Residual Variance Estimation in Supervised Learning.
Elia LiitiäinenAmaury LendasseFrancesco CoronaPublished in: IWANN (2007)
Keyphrases
- supervised learning
- semi parametric
- parametric models
- unsupervised learning
- kernel density estimation
- learning algorithm
- training set
- semi supervised
- supervised classification
- robust estimation
- reinforcement learning
- variance reduction
- semi supervised learning
- parameter estimation
- estimation accuracy
- accurate estimation
- estimation algorithm
- class labels
- residual error
- low variance
- residual signal
- statistical learning
- density estimation
- data sets
- motion estimation
- active learning
- bayesian networks
- training data
- similarity measure
- machine learning