Lovasz ϑ, SVMs and applications.
Vinay JethavaJacob SznajdmanChiranjib BhattacharyyaDevdatt P. DubhashiPublished in: ITW (2013)
Keyphrases
- support vector
- support vector machine svm
- kernel function
- support vector machine
- classification using support vector machines
- svm classifier
- knn
- feature selection
- sparse kernel
- structured learning
- multi class
- maximum margin
- machine learning
- multi class classification
- cost sensitive
- binary classification
- support vectors
- kernel methods
- statistical learning theory
- reduced set
- generalization ability
- multiresolution
- support vector machine classifiers
- loss function
- training support vector machines
- microarray classification
- training data
- soft margin
- training set
- high dimension
- logistic regression
- decision boundary