Machine Learning Model for Sparse PCM Completion

Published 7 Jan 2026 in cs.LG and math.OC | (2601.04366v1)

Abstract: In this paper, we propose a machine learning model for sparse pairwise comparison matrices (PCMs), combining classical PCM approaches with graph-based learning techniques. Numerical results are provided to demonstrate the effectiveness and scalability of the proposed method.

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