An efficient hyper-parameter optimization method for supervised learning.

Ying Shi Hui Qi Xiaobo Qi Xiaofang Mu

Published in: Appl. Soft Comput. (2022)

Keyphrases

optimization method
supervised learning
hyperparameters
optimization algorithm
optimization process
optimization methods
simulated annealing
particle swarm
genetic algorithm
evolutionary algorithm

differential evolution
model selection
optimization procedure
nonlinear optimization
parameter settings
random sampling
cross validation
incremental learning
metaheuristic

nelder mead simplex
reinforcement learning
learning algorithm
training data
active learning
unsupervised learning
bayesian inference
training set
neural network

support vector
feature vectors
objective function
probabilistic model
prior information
maximum a posteriori
semi supervised
maximum likelihood
em algorithm