A supervised learning rule for classification of spatiotemporal spike patterns.
Lilin GuoZhenzhong WangMalek AdjouadiPublished in: EMBC (2016)
Keyphrases
- learning rules
- supervised learning
- neural network
- machine learning
- supervised classification
- lung disease
- decision trees
- spatiotemporal patterns
- classification accuracy
- artificial neural networks
- space time
- biologically inspired
- feature selection
- learning algorithm
- semi supervised
- unsupervised learning
- support vector
- feature vectors
- training set
- support vector machine
- text classification
- high dimensional
- spatio temporal
- feature space
- image sequences