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Image Credit: Arxiv

Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability

  • Existing research on judicial sentencing prediction often lacks interpretability, necessary for scholarly research and judicial practice.
  • A new Saturated Mechanistic Sentencing (SMS) model is proposed, rooted in China's Criminal Law, to provide legal interpretability.
  • The Momentum Least Mean Squares (MLMS) adaptive algorithm is introduced for the SMS model, with a focus on accuracy without data assumptions.
  • Experiments with the Chinese Intentional Bodily Harm dataset show promising prediction accuracy close to the theoretical upper bound, validating the model and algorithm.

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