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 "Issues in the Integration of Data Mining and Data Visualization Visualizing the Simple Bayesian Classifier"):
  Abstract: The simple Bayesian classifier (SBC), sometimes called Naive-Bayes, is built based on a conditional independence model of each attribute given the class. The model was previously shown to be surprisingly robust to obvious violations of this independence assumption, yielding accurate classification models even when there are clear conditional dependencies. The SBC can serve as an excellent tool for initial exploratory data analysis when coupled with a visualizer that makes its structure comprehensible. We describe such a visual representation of the SBC model that has been successfully implemented. We describe the requirements we had for such a visualization and the design decisions we made to satisfy them.

Includes members:
  Member "Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Selection of Relevant Features and Examples in Machine Learning")
  Member "An Analysis of Bayesian Classifiers (1988), involves the formulation of average-case models for specific algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Towards a Better Understanding of Memory-Based Reasoning Systems")
  Member "Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Mining and Model Simplicity: A Case Study in Diagnosis")

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