A lightweight knowledge-based PSO for SVM hyper-parameters tuning in a dynamic environment.
Dhruba Jyoti KalitaVibhav Prakash SinghVinay KumarPublished in: J. Supercomput. (2023)
Keyphrases
- lightweight
- dynamic environments
- hyperparameters
- support vector
- ls svm
- grid search
- cross validation
- model selection
- particle swarm optimization
- parameter settings
- support vector machine
- closed form
- random sampling
- bayesian inference
- path planning
- bayesian framework
- feature selection
- mobile robot
- maximum likelihood
- prior information
- em algorithm
- bayesian methods
- support vector machine svm
- incremental learning
- noise level
- generalization ability
- active learning
- bp neural network
- training set
- incomplete data
- sample size
- wireless sensor networks
- maximum a posteriori
- knn
- feature vectors
- differential evolution
- genetic algorithm
- fitness function