Inference of nonlinear gene regulatory networks through optimized ensemble of support vector regression and dynamic Bayesian networks.
Arinze AkutekweHuseyin SekerPublished in: EMBC (2015)
Keyphrases
- dynamic bayesian networks
- support vector regression
- gene regulatory networks
- bayesian networks
- approximate inference
- support vector
- regression model
- particle filtering
- neural network
- structure learning
- state variables
- support vector machine
- graphical models
- training set
- probabilistic inference
- machine learning
- learning algorithm
- state space
- pairwise
- reinforcement learning
- training data
- image processing
- computer vision