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Apr, 2024
MCPNet:一种通过多层概念原型解释的分类器
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
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Bor-Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu
TL;DR
通过使用多层概念原型分类器(MCPNet)和基于概念分布的分类方法,本研究在黑盒分类器模型的解释方面取得了显著的进展,并提供了更全面的多层解释,同时保持分类准确性。
Abstract
Recent advancements in post-hoc and inherently
interpretable methods
have markedly enhanced the
explanations
of black box classifier models. These methods operate either through post-analysis or by integrating co
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