An Experimental Study of Semantic Continuity for Deep Learning Models.
Shangxi WuJitao SangXian ZhaoLizhang ChenPublished in: CoRR (2020)
Keyphrases
- learning models
- learning algorithm
- machine learning
- learning tasks
- loss function
- learning paradigms
- machine learning algorithms
- classification models
- conditional random fields
- learning problems
- natural language
- similarity measure
- learning process
- active learning
- supervised learning
- higher order
- expectation maximization
- em algorithm
- unsupervised learning
- semi supervised learning
- pairwise
- bayesian networks