Residual variance estimation in machine learning.
Elia LiitiäinenMichel VerleysenFrancesco CoronaAmaury LendassePublished in: Neurocomputing (2009)
Keyphrases
- machine learning
- machine learning methods
- text mining
- decision trees
- machine learning algorithms
- artificial intelligence
- estimation error
- inductive learning
- knowledge acquisition
- model selection
- density estimation
- machine learning approaches
- learning algorithm
- learning systems
- selection criterion
- natural language processing
- supervised learning
- information extraction
- active learning
- feature selection
- residual signal
- minimum variance
- accurate estimation
- machine learning and data mining
- computational biology
- standard deviation
- probability density function
- monte carlo
- data mining
- text classification
- data analysis