Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples
Joint Authors
Guan, Donghai
Zhu, Qi
Yuan, Ning
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In recent years, self-paced learning (SPL) has attracted much attention due to its improvement to nonconvex optimization based machine learning algorithms.
As a methodology introduced from human learning, SPL dynamically evaluates the learning difficulty of each sample and provides the weighted learning model against the negative effects from hard-learning samples.
In this study, we proposed a cognitive driven SPL method, i.e., retrospective robust self-paced learning (R2SPL), which is inspired by the following two issues in human learning process: the misclassified samples are more impressive in upcoming learning, and the model of the follow-up learning process based on large number of samples can be used to reduce the risk of poor generalization in initial learning phase.
We simultaneously estimated the degrees of learning-difficulty and misclassified in each step of SPL and proposed a framework to construct multilevel SPL for improving the robustness of the initial learning phase of SPL.
The proposed method can be viewed as a multilayer model and the output of the previous layer can guide constructing robust initialization model of the next layer.
The experimental results show that the R2SPL outperforms the conventional self-paced learning models in classification task.
American Psychological Association (APA)
Zhu, Qi& Yuan, Ning& Guan, Donghai. 2019. Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1132832
Modern Language Association (MLA)
Zhu, Qi…[et al.]. Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1132832
American Medical Association (AMA)
Zhu, Qi& Yuan, Ning& Guan, Donghai. Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1132832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132832