Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge.
Robert CanadyXingyu ZhouYogesh D. BarveDaniel BalasubramanianAniruddha GokhalePublished in: DDDAS (2022)
Keyphrases
- learning models
- learning algorithm
- loss function
- learning tasks
- machine learning
- semi supervised learning
- learning paradigms
- learning problems
- classification models
- conditional random fields
- machine learning models
- machine learning algorithms
- microarray
- unsupervised learning
- graph cuts
- semi supervised
- feature extraction
- genetic algorithm