milr: Multiple-Instance Logistic Regression with Lasso Penalty.
Ping-Yang ChenChing-Chuan ChenChun-Hao YangSheng-Mao ChangKuo-Jung LeePublished in: R J. (2017)
Keyphrases
- logistic regression
- multiple instance
- generalized linear models
- multiple instance learning
- learning problems
- concept learning
- real valued
- decision trees
- semi supervised learning
- naive bayes
- support vector
- random forests
- feature selection
- regression problems
- linear support vector machines
- variable selection
- linear regression
- least squares
- maximum margin
- cross validation
- loss function
- semi supervised
- data mining
- multi task
- natural language processing