Error scaling laws for kernel classification under source and capacity conditions.
Hugo CuiBruno LoureiroFlorent KrzakalaLenka ZdeborováPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- support vector
- feature space
- classification scheme
- classification accuracy
- classification process
- pattern recognition
- object classification
- feature vectors
- machine learning
- automatic classification
- image classification
- neural network
- sufficient conditions
- linearly separable
- classification algorithm
- decision rules
- support vector machine
- feature selection
- svm classifier
- training samples
- error bounds
- cost sensitive
- active learning
- training set
- preprocessing
- classification systems
- training data
- histogram intersection kernel