loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Ramisetty Kavya ; Jabez Christopher and Subhrakanta Panda

Affiliation: Department of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus, Telangana, India

Keyword(s): Supervised Learning, Probabilistic Label, K-nearest Neighbour, Dempster Shafer Theory, Uncertainty.

Abstract: Hard label assignment is a challenging task in case of epistemic uncertainty. This work initially converts the hard labels of evidential instances into probabilistic labels based on k-nearest neighbours. Neighbours are identified in a way that at least half of them must belong to the hard label of the corresponding evidential instance. The probabilistic label of a decision query is computed by combining the probabilistic labels of the nearest neighbours using Dempster’s combination rule. Synthetic data is considered to verify the probabilistic labels over hard labels by varying the number of samples, number of neighbours and the overlapping degree between the classes. It is observed that the performance of the method mainly depends on the overlapping degree between classes. Probabilistic labels are intuitive compared to hard labels in case of high overlapping region. Moreover, few publicly available datasets are also considered to verify the performance of probabilistic labels on bou ndary instances. The proposed method achieves an accuracy of 90:44% and 98:24% on breast dataset trained with 10% and 90% of data respectively. Therefore the proposed method is sample efficient, calibrated, and interpretable. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.217.131.170

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kavya, R. ; Christopher, J. and Panda, S. (2023). Nearest Neighbours and XAI Based Approach for Soft Labelling. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 108-116. DOI: 10.5220/0011619800003393

@conference{icaart23,
author={Ramisetty Kavya and Jabez Christopher and Subhrakanta Panda},
title={Nearest Neighbours and XAI Based Approach for Soft Labelling},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={108-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011619800003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Nearest Neighbours and XAI Based Approach for Soft Labelling
SN - 978-989-758-623-1
IS - 2184-433X
AU - Kavya, R.
AU - Christopher, J.
AU - Panda, S.
PY - 2023
SP - 108
EP - 116
DO - 10.5220/0011619800003393
PB - SciTePress