Unsupervised Detection of Downward-Entailing Operators By Maximizing Classification Certainty.
Jackie Chi Kit CheungGerald PennPublished in: EACL (2012)
Keyphrases
- unsupervised learning
- supervised learning
- classification accuracy
- supervised classification
- automatic detection
- feature vectors
- classification algorithm
- automatic classification
- unsupervised classification
- robust detection
- support vector
- mammogram images
- microcalcification clusters
- classification scheme
- neyman pearson
- cost sensitive
- partially supervised
- classification rules
- false positives
- machine learning algorithms
- detection method
- model selection
- data sets
- decision trees
- text classification
- feature extraction
- training data
- pattern recognition
- unsupervised clustering
- neural network
- benchmark datasets
- feature extraction and classification
- preprocessing
- classification systems
- pairwise
- support vector machine
- multi class
- false alarms
- detection rate
- machine learning methods