Classifying the classifier: dissecting the weight space of neural networks.
Gabriel EilertsenDaniel JönssonTimo RopinskiJonas UngerAnders YnnermanPublished in: CoRR (2020)
Keyphrases
- neural network
- hierarchical classification
- pattern recognition
- training process
- feature space
- feature selection
- classification process
- support vector machine
- learning vector quantization
- learning classifier systems
- fuzzy logic
- back propagation
- weight update
- classifier systems
- feed forward
- training examples
- artificial neural networks
- training data
- learning algorithm
- space time
- ensemble learning
- feature set
- classification scheme
- multi layer perceptron
- training set
- nearest neighbour
- support vector
- supervised classifiers
- genetic algorithm