End-User Feature Labeling via Locally Weighted Logistic Regression.
Weng-Keen WongIan OberstShubhomoy DasTravis MooreSimone StumpfKevin McIntoshMargaret M. BurnettPublished in: AAAI (2011)
Keyphrases
- logistic regression
- end users
- locally weighted
- naive bayes
- decision trees
- logistic regression models
- regression model
- text classification
- classification accuracy
- linear regression
- support vector
- user interface
- random forests
- text categorization
- training data
- unsupervised learning
- information gain
- feature selection
- machine learning
- loss function
- feature set
- nearest neighbor
- feature vectors
- bayesian networks
- data mining
- neural network
- regression problems
- multiple models
- feature extraction