In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array.
Jintao ZhangZhuo WangNaveen VermaPublished in: IEEE J. Solid State Circuits (2017)
Keyphrases
- machine learning
- random access memory
- learning algorithm
- feature selection
- support vector machine
- decision trees
- pattern recognition
- power consumption
- data mining
- memory usage
- machine learning methods
- machine learning algorithms
- training data
- data transmission
- training examples
- support vector
- svm classifier
- neural network
- design considerations
- feature extraction
- learning classifier systems
- classification algorithm
- semi supervised learning
- text mining
- supervised learning
- class labels
- feature space
- training samples
- reinforcement learning
- learning tasks
- associative memory
- knowledge acquisition
- past experience
- data analysis
- feature vectors