Multi-Objective Approach for Support Vector Machine Parameter Optimization and Variable Selection in Cardiovascular Predictive Modeling.
Christina BresterIvan RyzhikovTomi-Pekka TuomainenAri VoutilainenEugene SemenkinMikko KolehmainenPublished in: ICINCO (1) (2018)
Keyphrases
- parameter optimization
- variable selection
- predictive modeling
- multi objective
- support vector machine
- machine learning
- genetic algorithm
- cross validation
- evolutionary algorithm
- optimization algorithm
- feature selection
- model selection
- data mining methods
- differential evolution
- support vector
- knowledge discovery
- statistical modeling
- hyperparameters
- high dimensional
- particle swarm optimization
- objective function
- data analysis
- data mining
- text mining
- support vector machine svm
- genetic algorithm ga
- pid controller
- survival analysis
- feature space
- data mining techniques
- decision trees
- training set
- feature vectors
- radial basis function
- dimension reduction
- high dimensional data
- parameter settings
- training data
- parameter estimation
- simulated annealing
- bayesian inference
- knn
- active learning
- big data
- business intelligence
- feature extraction
- image processing
- neural network