Student Work
Positive Unlabeled Learning
公开Positive and unlabeled learning involves positive examples and unlabeled data. The unlabeled data can contain both positive and negative examples. PU learning has gained prevalence recently due to its newfound application in social media and medicine. The current state of the art approaches to PU algorithms face a multitude of issues. Therefore the team implemented and conducted experiments on existing algorithms such as SAR-EM and NNPU. These algorithms were modified to create a novel PU algorithm.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- E-project-051121-151455
- 23881
- 关键词
- Advisor
- Year
- 2021
- Date created
- 2021-05-11
- Resource type
- Major
- Rights statement
关系
- 属于 Collection:
项目
单件
缩略图 | 标题 | 公开度 | Embargo Release Date | 行动 |
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Exploring Positive and Unlabeled Learning - Vinay Nair D Term .pdf | 公开 | 下载 |
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