TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification.
Rohit BabbarKrikamol MuandetBernhard SchölkopfPublished in: SDM (2016)
Keyphrases
- supervised learning
- learning models
- learning systems
- unsupervised learning
- structured output
- learning process
- incremental learning
- classification models
- image classification
- probabilistic model
- active learning
- statistical learning
- classification systems
- accurate models
- feature extraction
- multi category
- decision trees
- learning algorithm
- learning problems
- pattern classification
- hidden variables
- discriminative methods
- machine learning algorithms
- pattern recognition
- classification method
- prior knowledge
- knowledge acquisition
- neural network
- face recognition
- bayesian networks
- reinforcement learning
- discriminative learning
- artificial neural networks
- generative model
- benchmark datasets
- class labels
- learning tasks
- machine learning methods
- statistical models