Evolutionary kernel density regression.
Oliver KramerFabian GiesekePublished in: Expert Syst. Appl. (2012)
Keyphrases
- kernel density
- mean shift
- regression model
- hidden markov models
- evolutionary optimization
- genetic algorithm
- linear regression
- support vector regression
- evolutionary computation
- regression problems
- model selection
- ridge regression
- gaussian processes
- ordinary least squares
- neural network
- gaussian process regression
- multiple regression
- evolutionary computing
- machine learning
- regression analysis
- information systems
- artificial intelligence
- partial least squares
- regression method
- simple linear
- regression methods
- gaussian process
- graph cuts
- semi supervised
- multi objective
- regression algorithm
- case study
- aggregating algorithm
- kernel ridge regression
- moving target defense