Nearest Neighbours and XAI Based Approach for Soft Labelling

Ramisetty Kavya, Jabez Christopher, Subhrakanta Panda

2023

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 boundary 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.

Paper Citation

in Harvard Style

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, pages 108-116. DOI: 10.5220/0011619800003393

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Kavya R.
AU - Christopher J.
AU - Panda S.
PY - 2023
SP - 108
EP - 116
DO - 10.5220/0011619800003393