Do Kernel and Neural Embeddings Help in Training and Generalization?
Arman RahbarEmilio JorgeDevdatt P. DubhashiMorteza Haghir ChehreghaniPublished in: Neural Process. Lett. (2023)
Keyphrases
- learning machines
- network architecture
- training algorithm
- neural network
- support vector
- manifold learning
- kernel function
- kernel methods
- kernel machines
- neural model
- training phase
- loss function
- training examples
- feature space
- data sets
- training samples
- biologically inspired
- training process
- dimensionality reduction
- supervised learning
- bio inspired
- hidden markov models
- learning rules
- pairwise
- feed forward neural networks
- training set
- biologically plausible