Sample Compression, Support Vectors, and Generalization in Deep Learning.
Christopher SnyderSriram VishwanathPublished in: IEEE J. Sel. Areas Inf. Theory (2020)
Keyphrases
- deep learning
- support vectors
- support vector
- support vector machine
- kernel function
- svm classifier
- unsupervised learning
- training samples
- input space
- training data
- training dataset
- machine learning
- hyperplane
- training examples
- mental models
- weakly supervised
- training process
- data sets
- image classification
- learning algorithm
- feature selection
- high dimensional
- training set
- dimensionality reduction
- supervised learning