Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance.
Masayuki KobayashiShinichi ShirakawaTomoharu NagaoPublished in: ICAART (3) (2022)
Keyphrases
- synthetic data
- prior knowledge
- neural network
- test data
- noisy data
- statistical methods
- input data
- preprocessing
- objective function
- learning scheme
- missing data
- learning process
- learning algorithm
- bayesian methods
- data sets
- data collection
- missing values
- prior information
- clustering method
- data structure
- reinforcement learning
- recurrent networks
- learned models
- data mining
- training process
- neural nets
- training data
- supervised learning
- data analysis
- knowledge discovery
- unsupervised learning
- pairwise
- background knowledge
- fault diagnosis
- incremental learning
- high dimensional
- data sources
- information loss
- similarity measure
- feed forward neural networks
- database