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Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion

  • Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
  • Multimodal AI models are used in various fields such as healthcare, finance, and autonomous driving.
  • Managing uncertainty is important for reliable decision-making in multimodal learning.
  • A novel multimodal learning method with order-invariant evidence fusion and conflict-based discounting is proposed.

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