Regression as Classification: Influence of Task Formulation on Neural Network Features.
Lawrence StewartFrancis R. BachQuentin BerthetJean-Philippe VertPublished in: CoRR (2022)
Keyphrases
- neural network
- feature vectors
- classification accuracy
- feature extraction
- feature set
- classification models
- pattern recognition
- feature space
- feature analysis
- learning vector quantization
- support vector
- classification process
- extracted features
- numeric values
- classification method
- class labels
- benchmark datasets
- regression model
- feature subset
- pattern classification
- image classification
- support vector machine
- decision trees
- feature selection
- regression problems
- svm classification
- extracting features
- machine learning
- high dimensionality
- artificial neural networks
- svm classifier
- cross validation
- feature representation
- image features
- text classification
- nearest neighbour
- feature maps
- radial basis function
- multi variate
- model selection
- training samples
- canonical correlation analysis
- discriminative features
- back propagation
- false positives
- multi layer perceptron
- multiple features
- incremental learning
- support vector regression