Use of Conventional Machine Learning to Optimize Deep Learning Hyper-parameters for NLP Labeling Tasks.
Yang GuGondy LeroyPublished in: HICSS (2020)
Keyphrases
- deep learning
- machine learning
- hyperparameters
- unsupervised learning
- model selection
- natural language processing
- cross validation
- information extraction
- closed form
- bayesian inference
- text mining
- weakly supervised
- bayesian framework
- natural language
- em algorithm
- prior information
- active learning
- support vector
- random sampling
- supervised learning
- question answering
- mental models
- maximum a posteriori
- maximum likelihood
- noise level
- feature selection
- sample size
- incremental learning
- learning algorithm
- data mining
- image segmentation
- missing values
- data sets
- higher order
- reinforcement learning
- feature extraction