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 to Refine Case Libraries:"):
  Abstract: Initial Results Abstract. Conversational case-based reasoning (CBR) systems, which incrementally extract a query description through a user-directed conversation, are advertised for their ease of use. However, designing large case libraries that have good performance (i.e., precision and querying efficiency) is difficult. CBR vendors provide guidelines for designing these libraries manually, but the guidelines are difficult to apply. We describe an automated inductive approach that revises conversational case libraries to increase their conformance with design guidelines. Revision increased performance on three conversational case libraries.

Includes members:
  Member "Context-Sensitive Feature Selection for Lazy Learners":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ICML-96 Workshop "Learning in context-sensitive domains" Bari, Italy. Dynamically Adjusting Concepts to Accommodate Changing Contexts")
  Member "Using Decision Trees to Improve Case-Based Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Refining Conversational Case Libraries")
  Member "Refining Conversational Case Libraries":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Correcting for Length Biasing in Conversational Case Scoring")

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: Case_Based