Overcoming Memory Constraint for Improved Target Classification Performance on Embedded Deep Learning Systems.
Fan WuHuanghe LiuZongwei ZhuCheng JiChun Jason XuePublished in: HPCC/DSS/SmartCity (2020)
Keyphrases
- learning systems
- machine learning
- learning process
- computer supported
- learning styles
- learning resources
- learning environment
- classification accuracy
- support vector machine svm
- feature vectors
- learning materials
- feature selection
- feature extraction
- memory requirements
- machine learning systems
- technology enhanced learning systems
- text classification
- model selection
- adaptive systems
- data mining
- reinforcement learning
- machine learning methods
- embedded systems
- collective learning