Optimizing hyperparameters of deep learning in predicting bus passengers based on simulated annealing.
Chun-Wei TsaiChien-Hui HsiaShuang-Jie YangShih-Jui LiuZhi-Yan FangPublished in: Appl. Soft Comput. (2020)
Keyphrases
- deep learning
- hyperparameters
- simulated annealing
- model selection
- cross validation
- bayesian inference
- closed form
- bayesian framework
- support vector
- random sampling
- unsupervised learning
- gaussian process
- noise level
- em algorithm
- prior information
- machine learning
- maximum likelihood
- incremental learning
- sample size
- maximum a posteriori
- missing values
- genetic algorithm
- genetic algorithm ga
- incomplete data
- parameter settings
- evolutionary algorithm
- weakly supervised
- mental models
- data sets
- pattern recognition
- semi supervised
- expectation maximization
- missing data
- upper bound
- noisy images
- bayesian networks
- image reconstruction