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: "An Explanation-Based Approach to Improve Retrieval in Case-Based Planning"
  Abstract: When a case-based planner is retrieving a previous case in preparation for solving a new similar problem, it is often not aware of the implicit features of the new problem situation which determine if a particular case may be successfully applied. This means that some cases may be retrieved in error in that the case may fail to improve the planner's performance. Retrieval may be incrementally improved by detecting and explaining these failures as they occur. In this paper we provide a definition of case failure for the planner, dersnlp (derivation replay in snlp), which solves new problems by replaying its previous plan derivations. We provide EBL (explanation-based learning) techniques for detecting and constructing the reasons for the failure. We also describe how to organize a case library so as to incorporate this failure information as it is produced. Finally we present an empirical study which demonstrates the effectiveness of this approach in improving the performance of dersnlp.

Connected through hyperedge HE-1 (induced by source paper "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"):
  with members:
    - "AN EMPIRICAL APPROACH TO SOLVING THE GENERAL UTILITY PROBLEM IN SPEEDUP LEARNING"
    - "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"
    - "Design and Implementation of a Replay Framework based on a Partial Order Planner"
    - "A utility-based approach to learning in a mixed Case-Based and Model-Based Reasoning architecture"

Connected through hyperedge HE-2 (induced by source paper "Evaluating the Effectiveness of Derivation Replay in Partial-order vs State-space Planning"):
  with members:
    - "Storing and Indexing Plan Derivations through Explanation-based Analysis of Retrieval Failures"
    - "Design and Implementation of a Replay Framework based on a Partial Order Planner"
    - "Analysis and Empirical Studies of Derivational Analogy"
    - "Merge Strategies for Multiple Case Plan Replay"
    - "Automatic Storage and Indexing of Plan Derivations based on Replay Failures"

Connected through hyperedge HE-3 (induced by source paper "Design and Implementation of a Replay Framework based on a Partial Order Planner"):
  with members:
    - "Evaluating the Effectiveness of Derivation Replay in Partial-order vs State-space Planning"
    - "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"

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