A Method of Learning Data Selection for Updating Shadow Model with High Accuracy.
Shinji FukuiYasuchika TakedaGaku WatanabeYuji IwahoriRobert J. WoodhamPublished in: KES (2012)
Keyphrases
- prior knowledge
- high accuracy
- input data
- test data
- statistical methods
- synthetic data
- learning models
- learned models
- probabilistic model
- noisy data
- statistical model
- prior information
- predictive model
- experimental data
- theoretical analysis
- learning scheme
- similarity measure
- prediction model
- bayesian methods
- regression analysis
- high efficiency
- cost function
- mathematical model
- objective function
- learning mechanism
- data sets
- selection mechanism
- clustering method
- learning algorithm
- em algorithm
- bayesian framework
- missing data
- selection algorithm
- highly accurate
- unsupervised learning
- energy function
- network structure
- probability distribution
- learning process
- data analysis
- segmentation method
- learning tasks
- data points
- statistical information
- reinforcement learning
- missing values