Decision Preference Networks in Ensemble Classification learning: Focusing on decision preferences and influences

Xiaoning Li, Min Guo, Kaiguang Wang, Chengwei Wu, Cai Dai, Zhiqiang Li

Abstract: Highlights•Focus on individual and group preferences in ensemble classification.•Represent the complex decision-making of ensemble sub-layer as a decision network.•Achieving Heterogeneous Consensus through HMHA Learning.•Facilitate transformation between Tabular Data and Graph-level Classification.•Incorporate a dual-feedback mechanism into the traditional ensemble learning.