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 "References Automatic student modeling and bug library construction using theory refinement. Ph.D. ml/ Symbolic revision"):
  Abstract: ASSERT demonstrates how theory refinement techniques developed in machine learning can be used to ef fec-tively build student models for intelligent tutoring systems. This application is unique since it inverts the normal goal of theory refinement from correcting errors in a knowledge base to introducing them. A comprehensive experiment involving a lar ge number of students interacting with an automated tutor for teaching concepts in C ++ programming was used to evaluate the approach. This experiment demonstrated the ability of theory refinement to generate more accurate student models than raw induction, as well as the ability of the resulting models to support individualized feedback that actually improves students subsequent performance. Carr, B. and Goldstein, I. (1977). Overlays: a theory of modeling for computer aided instruction. T echnical Report A. I. Memo 406, Cambridge, MA: MIT. Sandberg, J. and Barnard, Y . (1993). Education and technology: What do we know? And where is AI? Artificial Intelligence Communications, 6(1):47-58.

Includes members:
  Member "Theory Refinement Combining Analytical and Empirical Methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Automated Refinement of First-Order Horn-Clause Domain Theories")
  Member "Automated Refinement of First-Order Horn-Clause Domain Theories":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "From Theory Refinement to KB Maintenance: a Position Statement")

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