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 "Unifying Empirical and Explanation-Based Learning by Modeling the Utility of Learned Knowledge"):
  Abstract: The overfit problem in empirical learning and the utility problem in explanation-based learning describe a similar phenomenon: the degradation of performance due to an increase in the amount of learned knowledge. Plotting the performance of learned knowledge during the course of learning (the performance response) reveals a common trend for several learning methods. Modeling this trend allows a control system to constrain the amount of learned knowledge to achieve peak performance and avoid the general utility problem. Experiments evaluate a particular empirical model of the trend, and analysis of the learners derive several formal models. If, as evidence suggests, the general utility problem can be modeled using the same mechanisms for different learning paradigms, then the model serves to unify the paradigms into one framework capable of comparing and selecting different learning methods based on predicted achievable performance.

Includes members:
  Member "Concept Learning and the Problem of Small":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "The Problem with Noise and Small Disjuncts")
  Member "AN EMPIRICAL APPROACH TO SOLVING THE GENERAL UTILITY PROBLEM IN SPEEDUP LEARNING":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems")
  Member "Simple Selection of Utile Control Rules in Speedup Learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A Statistical Approach to Solving the EBL Utility Problem")

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