A Bayesian Data Augmentation Approach for Learning Deep Models.
Toan TranTrung PhamGustavo CarneiroLyle J. PalmerIan D. ReidPublished in: NIPS (2017)
Keyphrases
- accurate models
- prior knowledge
- bayesian methods
- learned models
- data sets
- experimental data
- data structure
- database
- learning models
- hidden variables
- data collection
- learning algorithm
- data analysis
- data points
- high quality
- machine learning
- bayesian learning
- training data
- historical data
- incomplete data
- learning systems
- background knowledge
- statistical methods
- bayesian inference
- deep architectures
- data quality
- end users
- data sources
- raw data
- missing values
- machine learning algorithms
- statistical analysis
- unsupervised learning
- data processing
- input data
- statistical inference
- learning process