A Comparative Performance of Genetic Algorithm and Bayesian Optimization for Hyperparameter Tuning for Mammogram Classification.
Noor Fadzilah RazaliIza Sazanita IsaSiti Noraini SulaimanNoor Khairiah A. KarimMuhammad Khusairi OsmanZainal Hisham Che SohZakiah Mohd YusoffPublished in: ICCSCE (2023)
Keyphrases
- genetic algorithm
- classification accuracy
- feature vectors
- gaussian processes
- optimization problems
- pattern recognition
- supervised learning
- optimization method
- support vector
- feature extraction
- decision trees
- feature selection
- classification algorithm
- text classification
- image classification
- neural network
- digital mammograms
- machine learning
- multi objective
- support vector machine
- parameter optimization
- bayesian methods
- support vector machine svm
- evolutionary algorithm
- model selection
- optimization algorithm
- fitness function
- cross validation
- training set
- classification method
- feature space
- hyperparameters
- training data
- maximum likelihood
- fine tuning
- evolutionary strategy
- multi class