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 "Language-Independent Data-Oriented Grapheme-to-Phoneme Conversion"):
  Abstract: We describe an approach to grapheme-to-phoneme conversion which is both language-independent and data-oriented. Given a set of examples (spelling words with their associated phonetic representation) in a language, a grapheme-to-phoneme conversion system is automatically produced for that language which takes as its input the spelling of words, and produces as its output the phonetic transcription according to the rules implicit in the training data. We describe the design of the system, and compare its performance to knowledge-based and alternative data-oriented approaches.

Includes members:
  Member "Improving accuracy by combining rule-based and case-based reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A comparison of Anapron with seven other name-pronunciation systems")
  Member "Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms")
  Member "Fast NP Chunking Using Memory-Based Learning Techniques":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "RAPID DEVELOPMENT OF NLP MODULES WITH MEMORY-BASED LEARNING")
  Member "GENERALIZATION PERFORMANCE OF BACKPROPAGATION LEARNING ON A SYLLABIFICATION TASK":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "RAPID DEVELOPMENT OF NLP MODULES WITH MEMORY-BASED LEARNING")
  Member "Memory-Based Lexical Acquisition and Processing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "RAPID DEVELOPMENT OF NLP MODULES WITH MEMORY-BASED LEARNING")
  Member "RAPID DEVELOPMENT OF NLP MODULES WITH MEMORY-BASED LEARNING":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "Memory-Based Lexical Acquisition and Processing")
  Member "Automatic Phonetic Transcription of Words Based On Sparse Data":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping")

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