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 "Learning by Refining Algorithm Sketches"):
  Abstract: In this paper we suggest a mechanism that improves significantly the performance of a top-down inductive logic programming (ILP) learning system. This improvement is achieved at the cost of giving to the system extra information that is not difficult to formulate. This information appears in the form of an algorithm sketch: an incomplete and somewhat vague representation of the computation related to a particular example. We describe which sketches are admissible, give details of the learning algorithm that exploits the information contained in the sketch. The experiments carried out with the implemented system (SKIL) have demonstrated the usefulness of the method and its potential in future applications.

Includes members:
  Member "Learning Recursion with Iterative Bootstrap Induction (Extended Abstract)":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "INFERENTIAL THEORY OF LEARNING: Developing Foundations for Multistrategy Learning")
  Member "Architecture for Iterative Learning of Recursive Definitions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Integrity Constraints in ILP using a Monte Carlo approach")
  Member "Integrity Constraints in ILP using a Monte Carlo approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Architecture for Iterative Learning of Recursive Definitions")

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