Probabilistic n-Choose-k Models for Classification and Ranking.
Kevin SwerskyDaniel TarlowRyan P. AdamsRichard S. ZemelBrendan J. FreyPublished in: NIPS (2012)
Keyphrases
- classification models
- probabilistic model
- model selection
- machine learning
- accurate classification
- machine learning algorithms
- feature vectors
- classification accuracy
- machine learning methods
- classification algorithm
- pattern recognition
- decision trees
- prior probabilities
- independence assumption
- automatic classification
- ordinal data
- pattern classification
- baseline models
- ranking algorithm
- statistical models
- support vector machine svm
- feature set
- feature extraction
- uncertain data
- decision rules
- support vector machine
- support vector
- neural network