RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift-Reference-Cited by-同舟云学术

RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift

Published:2020-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Guo Lan-Zhe¹,Zhou Zhi¹,Li Yu-Feng¹

Affiliation:

1. Nanjing University, Nanjing, China

Funder

The NSFC

National Key R&D Program of China

The Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403214

Reference34 articles.

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2. Albert Bifet Geoffrey Holmes Bernhard Pfahringer and Ricard Gavaldà. 2011. Detecting Sentiment Change in Twitter Streaming Data. In WAPA. 5--11. Albert Bifet Geoffrey Holmes Bernhard Pfahringer and Ricard Gavaldà. 2011. Detecting Sentiment Change in Twitter Streaming Data. In WAPA. 5--11.

3. Gregory Ditzler and Robi Polikar. 2011. Semi-Supervised Learning in Nonstationary Environments. In IJCNN. 2741--2748. Gregory Ditzler and Robi Polikar. 2011. Semi-Supervised Learning in Nonstationary Environments. In IJCNN. 2741--2748.

4. COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data

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