Time-to-event regression using partially monotonic neural networks.
David RindtRobert HuDavid SteinsaltzDino SejdinovicPublished in: CoRR (2021)
Keyphrases
- neural network
- artificial neural networks
- neural network model
- back propagation
- regression model
- linear regression
- pattern recognition
- network architecture
- regression problems
- event driven
- stream processing
- feed forward
- event detection
- locally weighted
- radial basis function network
- event recognition
- regression function
- reproducing kernel hilbert space
- genetic algorithm
- gaussian processes
- multi layer
- support vector regression
- neural nets
- recurrent neural networks
- self organizing maps
- fault diagnosis
- fuzzy logic
- regression analysis
- fuzzy neural network
- news articles
- regression methods
- soccer video
- classification and regression trees
- polynomial regression