A regularized orthogonal activated inverse-learning neural network for regression and classification with outliers.
Zhijun ZhangYating SongTao ChenJie HePublished in: Neural Networks (2024)
Keyphrases
- neural network
- supervised learning
- incremental learning
- text classification
- learning rules
- learning algorithm
- discriminative learning
- learning process
- support vector machine svm
- least squares
- neural nets
- pattern recognition
- classification and regression problems
- unsupervised learning
- learning problems
- nearest neighbour
- cross validation
- radial basis function network
- regression model
- model selection
- image classification
- classification accuracy
- support vector
- reinforcement learning
- machine learning
- learning tasks
- artificial neural networks
- training process
- gaussian processes
- inductive inference
- learning environment
- regression problems
- decision trees