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 "LEARNING BY USING DYNAMIC FEATURE COMBINATION AND SELECTION"):

Includes members:
  Member "A System for Induction of Oblique Decision Trees":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Support Vector Machine Approach to Decision Trees")
  Member "A decision-theoretic generalization of on-line learning and an application to boosting how the weight-update rule":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Machine Learning 27(1):51-68, 1997. Predicting nearly as well as the best pruning of a decision tree")
  Member "Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms")
  Member "Generating Accurate and Diverse Members of a Neural-Network Ensemble":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "The Sources of Increased Accuracy for Two Proposed Boosting Algorithms")

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: Theory