Regression as Classification: Influence of Task Formulation on Neural Network Features.
Lawrence StewartFrancis R. BachQuentin BerthetJean-Philippe VertPublished in: AISTATS (2023)
Keyphrases
- neural network
- classification accuracy
- feature vectors
- feature set
- feature extraction
- classification process
- classification models
- extracted features
- feature space
- classification method
- support vector
- svm classifier
- high dimensionality
- learning vector quantization
- probabilistic neural network
- pattern recognition
- class labels
- benchmark datasets
- feature selection
- regression model
- feature analysis
- feature values
- support vector machine
- decision trees
- text classification
- false positives
- supervised learning
- cross validation
- image features
- pattern classification
- feature subset
- high dimensional
- svm classification
- extracting features
- textural features
- binary decision tree
- regression method
- feature selection algorithms
- machine learning algorithms
- model selection
- principal component analysis
- artificial neural networks
- training data
- machine learning