Separating Models of Learning from Correlated and Uncorrelated Data.
Ariel ElbazHomin K. LeeRocco A. ServedioAndrew WanPublished in: COLT (2005)
Keyphrases
- data sets
- prior knowledge
- learned models
- accurate models
- database
- learning models
- experimental data
- hidden variables
- statistical analysis
- data processing
- human experts
- reinforcement learning
- image data
- bayesian methods
- data structure
- noisy data
- high quality
- background knowledge
- missing data
- raw data
- synthetic data
- training data
- historical data
- knowledge discovery
- highly correlated
- sensor data
- statistical methods
- learning tasks
- original data
- data quality
- knowledge acquisition
- learning algorithm
- input data