Hardware for machine learning: Challenges and opportunities.
Vivienne SzeYu-Hsin ChenJoel S. EmerAmr SuleimanZhengdong ZhangPublished in: CICC (2018)
Keyphrases
- machine learning
- real time
- lessons learned
- computing systems
- real world
- hardware and software
- low cost
- key issues
- machine learning methods
- computational intelligence
- technical challenges
- open issues
- computer systems
- learning tasks
- support vector machine
- supervised learning
- statistical methods
- hardware implementation
- pattern recognition
- learning systems
- machine learning algorithms
- emerging technologies
- decision trees
- machine learning approaches
- text classification
- computer science
- text mining
- explanation based learning
- computing power
- hardware architecture
- vlsi implementation
- mobile handheld devices
- inductive logic programming
- data acquisition
- model selection
- knowledge acquisition
- natural language processing
- knowledge discovery
- knowledge representation
- active learning
- reinforcement learning
- image processing
- computer vision
- learning algorithm