A Hybrid Data and Model Transfer Framework for Distributed Machine Learning.
Jiamei YanZhaoyang ZhangWei WangXiaoming ChenCaijun ZhongChunguang LiPublished in: WCSP (2019)
Keyphrases
- machine learning
- experimental data
- learning models
- input data
- theoretical framework
- computational model
- simulation data
- raw data
- statistical methods
- probabilistic model
- predictive model
- test data
- data analysis
- data processing
- data collection
- database
- empirical data
- data sets
- high level
- process model
- data structure
- statistical analysis
- training data
- mathematical model
- data transfer
- image data
- data points
- neural network
- measured data
- modeling framework
- probability distribution
- expert knowledge
- bayesian framework
- prior knowledge
- knowledge discovery
- conceptual framework
- formal model
- data quality
- model selection
- learning algorithm
- conceptual model
- transfer learning
- information extraction
- supervised learning
- regression model
- data mining techniques