End-user feature labeling: a locally-weighted regression approach.
Weng-Keen WongIan OberstShubhomoy DasTravis MooreSimone StumpfKevin McIntoshMargaret M. BurnettPublished in: IUI (2011)
Keyphrases
- end users
- locally weighted
- polynomial regression
- linear regression
- regression model
- naive bayes
- regression problems
- user interface
- user requirements
- application development
- multiple models
- service providers
- artificial intelligence
- unsupervised learning
- feature vectors
- user driven
- active learning
- data points
- least squares
- data mining
- bayesian inference
- bayesian networks