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 "Decision Tree Induction Based on Efficient Tree Restructuring"):
  Abstract: The ability to restructure a decision tree efficiently enables a variety of approaches to decision tree induction that would otherwise be prohibitively expensive. Two such approaches are described here, one being incremental tree induction (ITI), and the other being non-incremental tree induction using a measure of tree quality instead of test quality (DMTI). These approaches and several variants offer new computational and classifier characteristics that lend themselves to particular applications.

Includes members:
  Member "An Improved Algorithm for Incremental Induction of Decision Trees":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Learning Classification Trees")
  Member "The Power of Decision Tables":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Targeting Business Users with Decision Table Classifiers")

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