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 "An application of ILP in a musical database: learning to compose the two-voice counterpoint"):
  Abstract: We describe SFOIL, a descendant of FOIL that uses the advanced stochastic search heuristic, and its application in learning to compose the two-voice counterpoint. The application required learning a 4-ary relation from more than 20.000 training instances. SFOIL is able to efficiently deal with this learning task which is to our knowledge one of the most complex learning task solved by an ILP system. This demonstrates that ILP systems can scale up to real databases and that top-down ILP systems that use the covering approach and advanced search strategies are appropriate for knowledge discovery in databases and are promising for further investigation.

Includes members:
  Member "Stochastic search in inductive concept learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Mingers, 1989 J. Mingers. An empirical comparison of pruning methods for decision tree induction. Machine")
  Member "Naive Bayesian classifier within ILP-R":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "SFOIL: Stochastic Approach to Inductive Logic Programming")
  Member "Linear Space Induction in First Order Logic with RELIEFF":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "SFOIL: Stochastic Approach to Inductive Logic Programming")
  Member "SFOIL: Stochastic Approach to Inductive Logic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Stochastic Propositionalization of Non-Determinate Background Knowledge")

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: Rule_Learning