Cited By
View all- Werder KRamesh BZhang R(2022)Establishing Data Provenance for Responsible Artificial Intelligence SystemsACM Transactions on Management Information Systems10.1145/350348813:2(1-23)Online publication date: 10-Mar-2022
This paper investigates booststrapping part-of-speech taggers using co-training, in which two taggers are iteratively re-trained on each other's output. Since the output of the taggers is noisy, there is a question of which newly labelled examples to ...
Ensemble learning learns from the training data by generating an ensemble of multiple base learners. It is well-known that to construct a good ensemble with strong generalization ability, the base learners are deemed to be accurate as well as diverse. ...
Association for Computing Machinery
New York, NY, United States
View or Download as a PDF file.
PDFView online with eReader.
eReaderView this article in digital edition.
Digital EditionView this article on the magazine site (external)
Magazine SiteCheck if you have access through your login credentials or your institution to get full access on this article.
Sign in