Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms.
Dan ChristianiCory E. MerkelDhireesha KudithipudiPublished in: ISQED (2016)
Keyphrases
- prediction algorithm
- classification algorithm
- benchmark datasets
- computational complexity
- machine learning algorithms
- stochastic approximation
- pattern recognition
- highly scalable
- significant improvement
- hardware and software
- prediction accuracy
- memory efficient
- classification scheme
- pattern classification
- machine learning methods
- computationally efficient
- low cost
- computational cost
- feature vectors
- feature space
- data structure
- class labels
- machine learning
- classification method
- computer systems
- feature extraction