human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Explaining Predictions in Bayesian Networks and Influence Diagrams"):
  Abstract: As Bayesian Networks and Influence Diagrams are being used more and more widely, the importance of an efficient explanation mechanism becomes more apparent. We focus on predictive explanations, the ones designed to explain predictions and recommendations of probabilistic systems. We analyze the issues involved in defining, computing and evaluating such explanations and present an algorithm to compute them.

Includes members:
  Member "Abduction as Belief Revision":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Generalized Update: Belief Change in Dynamic Settings")
  Member "Defining Explanation in Probabilistic Systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Causal diagrams for empirical research")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Probabilistic_Methods