Spiking-HDC: A Spiking Neural Network Processor with HDC Classifier Enabling Transfer Learning.
Anqin XiaoXin ZhangJinqiao YangLirong ZhengZhuo ZouPublished in: ISCAS (2024)
Keyphrases
- transfer learning
- spiking neural networks
- biologically inspired
- neuron model
- learning tasks
- spiking neurons
- learning rules
- labeled data
- knowledge transfer
- learning algorithm
- reinforcement learning
- feed forward
- training data
- artificial neural networks
- hebbian learning
- biologically plausible
- collaborative filtering
- text classification
- cerebellar model
- cross domain
- neural network
- text categorization
- active learning
- machine learning
- machine learning algorithms
- transfer knowledge
- support vector
- training samples
- class labels
- semi supervised learning
- multi task
- feature selection
- motor control
- target domain
- training set
- decision trees
- feature space
- individual classifiers
- artificial intelligence
- radial basis function
- labeled and unlabeled data
- unsupervised learning
- domain knowledge
- semi supervised
- supervised learning