Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification.
Aleksandar BotevBowen ZhengDavid BarberPublished in: AISTATS (2017)
Keyphrases
- classification accuracy
- image classification
- decision trees
- pattern classification
- pattern recognition
- machine learning
- feature selection
- support vector machine svm
- real world
- classification process
- automatic classification
- decision rules
- preprocessing
- monte carlo
- neural network
- classification systems
- classification scheme
- feature extraction
- classification models
- feature vectors
- cost sensitive
- support vector
- maximum likelihood
- text classification
- feature space
- hierarchical text classification
- approximation algorithms
- nearest neighbour
- likelihood model
- decision boundary
- min sum
- random sampling
- bayesian networks
- sample size
- feature set
- supervised learning