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: "A Similarity-Based Retrieval Tool for Software Repositories"
  Abstract: In this paper we present a prototype of a flexible similarity-based retrieval system. Its flexibility is supported by allowing for an imprecisely specified query. Moreover, our algorithm allows for assessing if the retrieved items are relevant in the initial context, specified in the query. The presented system can be used as a supporting tool for a software repository. We also discuss system evaluation with concerns on usefulness, scalability, applicability and comparability. Evaluation of the T A3 system on three domains gives us encouraging results and an integration of TA3 into a real software repository as a retrieval tool is ongoing.

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"
    - "How to Retrieve Relevant Information?"
    - "Applying Case-Based Reasoning to Control in Robotics"

Connected through hyperedge HE-2 (induced by source paper "How to Retrieve Relevant Information?"):
  with members:
    - "Constructive Similarity Assessment: Using Stored Cases to Define New Situations"
    - "Context-Based Similarity Applied to Retrieval of Relevant Cases"

Connected through hyperedge HE-3 (induced by source paper "A Case-Based Reasoning Approach"):
  with members:
    - "Inductive Learning and Case-Based Reasoning"
    - "On the Informativeness of the DNA Promoter Sequences Domain Theory"
    - "Applying Case-Based Reasoning to Control in Robotics"

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