End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.
Shubhomoy DasTravis MooreWeng-Keen WongSimone StumpfIan OberstKevin McIntoshMargaret M. BurnettPublished in: Artif. Intell. (2013)
Keyphrases
- logistic regression
- end users
- locally weighted
- naive bayes
- supervised and semi supervised
- decision trees
- classification accuracy
- linear regression
- user interface
- text classification
- semi supervised
- support vector
- random forests
- regression model
- text categorization
- feature selection
- bayesian networks
- feature vectors
- data analysis
- nearest neighbor
- regression problems
- training data