A New Likelihood Ratio Method for Training Artificial Neural Networks.
Yijie PengLi XiaoBernd HeidergottL. Jeff HongHenry LamPublished in: INFORMS J. Comput. (2022)
Keyphrases
- likelihood ratio
- artificial neural networks
- training samples
- probabilistic model
- training process
- objective function
- machine learning methods
- likelihood ratio test
- neural network
- similarity measure
- dynamic programming
- parameter estimation
- training algorithm
- training phase
- using artificial neural networks
- feed forward neural networks