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 "Theory-guided Empirical Speedup Learning of Goal Decomposition Rules"):
  Abstract: Speedup learning is the study of improving the problem-solving performance with experience and from outside guidance. We describe here a system that successfully combines the best features of Explanation-based learning and empirical learning to learn goal decomposition rules from examples of successful problem solving and membership queries. We demonstrate that our system can efficiently learn effective decomposition rules in three different domains. Our results suggest that theory-guided empirical learning can overcome the problems of purely explanation-based learning and purely empirical learning, and be an effective speedup learning method.

Includes members:
  Member "Acquiring Recursive and Iterative Concepts with Explanation-Based Learning explanation-based generalization, generalizing explanation structures, generalizing to":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Hierarchical Explanation-Based Reinforcement Learning")
  Member "Learning Goal-Decomposition Rules using Exercises":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Learning First-Order Acyclic Horn Programs from Entailment")
  Member "Combining FOIL and EBG to Speed-up Logic Programs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "An intelligent search method using Inductive Logic Programming")

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