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: "Case-based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains"
  Abstract: 1 We have developed an approach to acquire complicated user optimization criteria and use them to guide

Connected through hyperedge HE-1 (induced by source paper "Improving accuracy by combining rule-based and case-based reasoning"):
  with members:
    - "Theory Refinement Combining Analytical and Empirical Methods"
    - "A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping"
    - "Language-Independent Data-Oriented Grapheme-to-Phoneme Conversion"
    - "The evaluation of Anapron: A case study in evaluating a case-based system"
    - "A comparison of Anapron with seven other name-pronunciation systems"

Connected through hyperedge HE-2 (induced by source paper "Using Case-Based Reasoning as a Reinforcement Learning Framework for Optimization with Changing Criteria"):
  with members:
    - "Machine Learning Learning to Predict by the Methods of Temporal Differences Keywords: Incremental learning, prediction,"
    - "Transfer of Learning by Composing Solutions of Elemental Sequential Tasks"
    - "Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time"

Connected through hyperedge HE-3 (induced by source paper "Modeling Ill-Structured Optimization Tasks through Cases"):
  with members:
    (none)

Connected through hyperedge HE-4 (induced by source paper "Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time"):
  with members:
    - "Using Case-Based Reasoning as a Reinforcement Learning Framework for Optimization with Changing Criteria"

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