A New Convex Loss Function For Multiple Instance Support Vector Machines.
Sang-Baeg KimJung-Man BaePublished in: ICPR (2020)
Keyphrases
- loss function
- multiple instance
- support vector
- risk minimization
- learning machines
- empirical risk
- maximum margin
- multiple instance learning
- regression problems
- learning problems
- concept learning
- real valued
- convex loss functions
- logistic regression
- cross validation
- pairwise
- semi supervised learning
- kernel methods
- kernel function
- binary classification
- hyperplane
- relational learning
- feature selection
- training examples
- boosting algorithms
- reproducing kernel hilbert space
- svm classifier
- decision function
- support vectors
- hyperparameters
- support vector machine
- convex hull
- learning tasks
- text categorization