A compact network learning model for distribution regression.
Connie Khor Li KouHwee Kuan LeeTeck Khim NgPublished in: Neural Networks (2019)
Keyphrases
- network model
- computational model
- prior knowledge
- probabilistic model
- probability distribution
- regression method
- learning process
- learning scheme
- mathematical model
- network traffic
- learning algorithm
- simple linear
- power law
- regression analysis
- hidden variables
- learning tasks
- machine learning
- linear regression
- network structure
- online learning
- peer to peer
- wireless sensor networks
- learning mechanism
- support vector
- partial least squares
- high level
- radial basis function network
- polynomial regression