Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency

By Yingjie Gu, Zhong Jin, Steve C. Chiu. 2014

13 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yuji Roh
2. Steven Euijong Whang
3. Geon Heo

Citations in the corpus

• A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “ata labeling techniques we consider are complementary to each other and can be used together. In fact, semi-supervised learning and active learning have a history of being used together [111]– [114], [148]. A key observation is that the two techniques solve opposite problems where semi-supervised le”