On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation.
Shiyu DuanShujian YuYunmei ChenJosé C. PríncipePublished in: Neural Comput. (2020)
Keyphrases
- deep learning
- connectionist models
- back propagation
- kernel methods
- neural network
- machine learning
- unsupervised learning
- learning algorithm
- weakly supervised
- artificial neural networks
- feed forward
- kernel function
- supervised learning
- multilayer perceptron
- semi supervised
- hidden layer
- support vector
- neural nets
- support vector machine
- cognitive science
- fuzzy logic
- feature selection
- decision trees
- artificial intelligence
- feature space
- learning tasks
- radial basis function
- mental models
- language understanding
- training data
- information processing
- model selection
- dimensionality reduction
- expert systems
- activation function
- relation extraction
- image processing
- genetic algorithm