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 "Data Mining for Association Rules with Unsupervised Neural Networks"):
  Abstract: results for Gaussian mixture models and factor analysis are discussed.

Includes members:
  Member "Generative Models for Discovering Sparse Distributed Representations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Continuous sigmoidal belief networks trained using slice sampling")
  Member "Recognizing Handwritten Digits Using Mixtures of Linear Models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "The EM Algorithm for Mixtures of Factor Analyzers")
  Member "The EM Algorithm for Mixtures of Factor Analyzers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Recognizing Handwritten Digits Using Mixtures of Linear Models")

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: Neural_Networks