A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training.
Sujan K. GonugondlaMingu KangNaresh R. ShanbhagPublished in: IEEE J. Solid State Circuits (2018)
Keyphrases
- machine learning
- training set
- training process
- training examples
- training samples
- supervised learning
- feature selection
- decision trees
- support vector machine
- learning algorithm
- training data
- pattern recognition
- high speed
- learning classifier systems
- classification algorithm
- supervised classification
- low cost
- classifier training
- labeled training data
- training phase
- support vector
- feature selection and classifier
- machine learning methods
- text classifiers
- supervised training
- data mining
- class labels
- test set
- active learning
- ground truth labels
- sufficient training data
- feature space
- multiple classifier systems
- model selection
- machine learning algorithms
- learning tasks
- unlabeled data
- semi supervised learning
- memory requirements
- text classification
- feature set
- main memory
- labeled images
- learning problems
- analog vlsi
- boosted classifiers
- classification method
- memory subsystem
- neural network
- svm classifier