Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it?
Daniel KostrzewaKonrad KarczewskiRobert BrzeskiPublished in: ICAISC (1) (2020)
Keyphrases
- naive bayes
- decision trees
- parameter values
- training data
- feature selection
- classification algorithm
- decision variables
- highly non linear
- parameter space
- control parameters
- optimization algorithm
- global optimization
- maximum likelihood
- parameter settings
- measured data
- parameter optimization
- design parameters
- fine tuning
- machine learning algorithms
- optimization problems
- training set
- optimization criteria
- neural network