Phase Prediction of Multi-principal Element Alloys Using Support Vector Machine and Bayesian Optimization.
Nguyen Hai ChauMasatoshi KuboLe Viet HaiTomoyuki YamamotoPublished in: ACIIDS (2021)
Keyphrases
- support vector machine
- stock market prediction
- parameter optimization
- prediction accuracy
- bi level
- optimization problems
- bayesian learning
- quadratic programming
- optimization process
- maximum likelihood
- optimization algorithm
- svm classifier
- optimization methods
- monte carlo sampling
- training phase
- combinatorial optimization
- prediction error
- global optimization
- bayesian networks
- training data
- machine learning
- posterior probability
- neural network
- feature vectors
- support vector
- small sample
- genetic algorithm
- efficient optimization
- data mining