A Bayesian Data Augmentation Approach for Learning Deep Models.
Toan TranTrung PhamGustavo CarneiroLyle J. PalmerIan D. ReidPublished in: CoRR (2017)
Keyphrases
- prior knowledge
- bayesian methods
- learning models
- accurate models
- data sets
- learned models
- historical data
- database
- learning process
- experimental data
- data structure
- hidden variables
- missing data
- data processing
- machine learning
- learning algorithm
- high quality
- data quality
- raw data
- data sources
- image data
- neural network
- predictive model
- statistical methods
- spatial data
- background knowledge
- high dimensional data
- knowledge discovery
- generative model
- data collection
- supervised learning
- bayesian models
- deep architectures
- bayesian framework
- statistical analysis
- online learning
- data points
- data analysis