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AuthorGanaie, M. A.
AuthorTanveer, M.
AuthorMalik, A. K.
AuthorSuganthan, P. N.
Available date2023-02-13T08:28:05Z
Publication Date2022-01-01
Publication NameProceedings of the International Joint Conference on Neural Networks
Identifierhttp://dx.doi.org/10.1109/IJCNN55064.2022.9891930
CitationGanaie, M. A., Tanveer, M., Malik, A. K., & Suganthan, P. N. (2022, July). Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.‏
ISBN9781728186719
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85140782380&origin=inward
URIhttp://hdl.handle.net/10576/40007
AbstractA teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm while training. This paper proposes minimum variance embedded random vector functional link network with privileged information (MVRVFL+). The proposed MVRVFL+ minimizes the intraclass variance of the training data and uses privileged information paradigm which provides the additional knowledge during the training of the model. The proposed MVRVFL+ classification model is evaluated on 43 benchmark UCI datasets. From the experimental analysis, the proposed MVRVFL+ showed best average accuracy and emerged as the lowest average rank classifier among the baseline models.
SponsorThe funding for this work is provided by the National Supercomputing Mission under DST and Miety, Govt. of India under Grant No. DST/NSM/R&D HPC Appl/2021/03.29, as well as the Department of Science and Technology under Interdisciplinary Cyber Physical Systems (ICPS) Scheme grant no. DST/ICPS/CPS-Individual/2018/276. Mr. Ashwani kumar Malik acknowledges the financial support (File no - 09/1022 (0075)/2019-EMR-I) given as scholarship by Council of Scientific and Industrial Research (CSIR), New Delhi, India. We are grateful to IIT Indore for the facilities and support being provided.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectclass variance
ELM
privileged information
Randomized algorithms
RVFL
TitleMinimum Variance Embedded Random Vector Functional Link Network with Privileged Information
TypeConference Paper
Pagination1-8
Volume Number2022-July
dc.accessType Abstract Only


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