Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning.
Junyang WuRong TaoGuoyan ZhengPublished in: MICCAI (8) (2022)
Keyphrases
- nonlinear regression
- linear regression
- support vector regression
- regression method
- support vector machine
- gaussian processes
- recurrent neural networks
- error function
- negative correlation learning
- maximum likelihood
- bayesian networks
- regression methods
- regression problems
- least squares
- data sets
- bayesian inference
- cross validation
- weak learners
- high dimensional