A multi-instance learning algorithm based on a stacked ensemble of lazy learners.
Ramasubramanian SundararajanHima PatelManisha SrivastavaPublished in: CoRR (2014)
Keyphrases
- multi instance
- learning algorithm
- decision tree learners
- base learners
- multi label
- ensemble methods
- learning process
- single instance
- multi instance learning
- real valued
- training data
- semi supervised learning
- ensemble learning
- binary classification
- active learning
- machine learning algorithms
- learning environment
- learning problems
- learning tasks
- base classifiers
- regression problems
- decision trees
- e learning
- machine learning
- object segmentation
- cost sensitive
- multi task
- neural network
- training examples
- text categorization
- unlabeled data
- graph cuts
- multi class
- reinforcement learning
- learning experience
- labeled data
- data sets
- classification algorithm
- image annotation
- benchmark datasets
- prediction accuracy
- supervised learning
- training set
- feature selection