human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "How to Retrieve Relevant Information?"
  Abstract: The document presents an approach to judging relevance of retrieved information based on a novel approach to similarity assessment. Contrary to other systems, we define relevance measures (context in similarity) at query time. This is necessary if since without a context in similarity one cannot guarantee that similar items will also be relevant.

Connected through hyperedge HE-1 (induced by source paper "Context-Based Similarity Applied to Retrieval of Relevant Cases"):
  with members:
    - "INFERENTIAL THEORY OF LEARNING: Developing Foundations for Multistrategy Learning"
    - "Constructive Similarity Assessment: Using Stored Cases to Define New Situations"
    - "MAC/FAC: A Model of Similarity-based Retrieval"
    - "A Similarity-Based Retrieval Tool for Software Repositories"
    - "Applying Case-Based Reasoning to Control in Robotics"

Connected through hyperedge HE-2 (induced by source paper "Constructive Similarity Assessment: Using Stored Cases to Define New Situations"):
  with members:
    - "Rules and Precedents as Complementary Warrants Complementarity of Rules and Precedents for Classification In a"
    - "Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning"
    - "Case-Based Similarity Assessment: Estimating Adaptability from Experience"
    - "Context-Based Similarity Applied to Retrieval of Relevant Cases"

Connected through hyperedge HE-3 (induced by source paper "A Similarity-Based Retrieval Tool for Software Repositories"):
  with members:
    - "Context-Based Similarity Applied to Retrieval of Relevant Cases"
    - "A Case-Based Reasoning Approach"

Question: Please tell me which class the center node 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