Industrial data classification using stochastic configuration networks with self-attention learning features.
Weitao LiYali DengMeishuang DingDianhui WangWei SunQiyue LiPublished in: Neural Comput. Appl. (2022)
Keyphrases
- prior knowledge
- data sets
- extracted features
- data analysis
- prior domain knowledge
- background knowledge
- feature construction
- feature extraction
- feature vectors
- database
- active learning
- data collection
- bayesian methods
- learning models
- class discrimination
- learning tasks
- network structure
- classification method
- benchmark datasets
- data points
- data sources
- supervised learning
- machine learning
- learning algorithm
- knowledge discovery
- irrelevant features
- unsupervised learning
- class labels
- classification accuracy
- training data
- incremental learning
- feature space
- social networks
- ecg signals
- reinforcement learning
- data structure
- classification models
- high dimensionality
- training set
- missing values
- model selection
- text classification
- image classification