Reliable Conflictive Multi-View Learning: Addressing Conflict in Multi-View Data

In creating the Reliable Conflictive Multi-View Learning (RCML) method, the authors aim to address the challenge of conflictive instances in multi-view data by providing decision results and reliabilities for such instances. The approach involves developing an Evidential Conflictive Multi-View Learning (ECML) method that focuses on aggregating conflictive opinions effectively.