A Lagrangian Relaxation Approach for Binary Multiple Instance Classification.
Annabella AstorinoAntonio FuduliManlio GaudiosoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- multiple instance
- lagrangian relaxation
- learning problems
- multiple instance learning
- integer programming
- concept learning
- image classification
- feature space
- lower bound
- text classification
- machine learning
- real valued
- feasible solution
- regression problems
- feature vectors
- support vector
- relational learning
- branch and bound algorithm
- decision trees
- pattern classification
- machine learning algorithms
- supervised learning
- training set
- np complete
- support vector machine
- dynamic programming
- np hard
- feature extraction