Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem.
Maciej KusyRoman ZajdelJacek KluskaTomasz ZabinskiPublished in: IJCNN (2020)
Keyphrases
- experimental data
- prior knowledge
- test data
- input data
- probability distribution
- data analysis
- database
- decision trees
- data sets
- recognition process
- probabilistic model
- models built
- measured data
- classification models
- data reduction
- conceptual model
- roc analysis
- unseen data
- data points
- confidence scores
- feature vectors
- process model
- classification method
- neural network
- network structure
- training data
- classification accuracy
- data sources
- input vectors
- fusion model
- extracted features
- data quality
- statistical methods
- text classification
- high speed
- supervised learning
- data structure
- feature extraction
- face recognition
- data mining