A review of in-memory computing for machine learning: architectures, options.
Václav SnáselTran Khanh DangJosef KüngLingping KongPublished in: Int. J. Web Inf. Syst. (2024)
Keyphrases
- machine learning
- memory usage
- data mining
- memory management
- machine learning approaches
- literature review
- decision trees
- reinforcement learning
- explanation based learning
- learning algorithm
- memory requirements
- machine learning methods
- artificial intelligence
- memory space
- machine learning algorithms
- learning systems
- text mining
- real world
- random access
- transfer learning
- past experience
- computer science
- pattern recognition
- feature selection
- computer vision
- memory hierarchy
- memory size
- data sets
- computing power
- inductive learning
- operating system
- supervised learning
- support vector machine
- knowledge discovery
- data analysis