scholarly journals Agreeing to disagree: active learning with noisy labels without crowdsourcing

2017 ◽  
Vol 9 (8) ◽  
pp. 1307-1319 ◽  
Author(s):  
Mohamed-Rafik Bouguelia ◽  
Slawomir Nowaczyk ◽  
K. C. Santosh ◽  
Antanas Verikas
Keyword(s):  
Active Learning ◽  
Agreeing To Disagree ◽  
Noisy Labels

scholarly journals Drift Compensation on Massive Online Electronic-Nose Responses

Chemosensors ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 78
Author(s):  
Jianhua Cao ◽  
Tao Liu ◽  
Jianjun Chen ◽  
Tao Yang ◽  
Xiuxiu Zhu ◽  
...  
Keyword(s):  
Active Learning ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Effective Means ◽  
Learning Paradigm ◽  
Class Label ◽  
Learning Framework ◽  
Sensor Drift ◽  
Drift Compensation ◽  
Noisy Labels

Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning paradigm has been introduced to such condition. However, it does not consider the “noisy label” problem caused by the unreliability of its labeling process in real applications. Thus, we have proposed a class-label appraisal methodology and associated active learning framework to assess and correct the noisy labels. To evaluate the performance of the proposed methodologies, we used the datasets from two E-nose systems. The experimental results show that the proposed methodology helps the E-noses achieve higher accuracy with lower computation than the reference methods do. Finally, we can conclude that the proposed class-label appraisal mechanism is an effective means of enhancing the robustness of active learning-based E-nose drift compensation.

Active Learning Through Use of Learning and Study Strategies

1990 ◽  
Vol 35 (5) ◽  
pp. 471-472
Author(s):  
Herbert J. Klausmeier
Keyword(s):  
Active Learning ◽  
Study Strategies ◽  
Learning And Study Strategies

A randomized controlled trial of an online, modular, active learning training program for behavioral activation for depression.

2017 ◽  
Vol 85 (8) ◽  
pp. 814-825 ◽  
Author(s):  
Ajeng J. Puspitasari ◽  
Jonathan W. Kanter ◽  
Andrew M. Busch ◽  
Rachel Leonard ◽  
Shira Dunsiger ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Active Learning ◽  
Training Program ◽  
Behavioral Activation ◽  
Controlled Trial ◽  
Randomized Controlled

Stimulating Active Learning in Aging and Diversity

2008 ◽  
Author(s):  
Lisa Wagner ◽  
Chandra M. Mehrotra
Keyword(s):  
Active Learning
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