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 "Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction"):
  Abstract: We report on a series of experiments in which all decision trees consistent with the training data are constructed. These experiments were run to gain an understanding of the properties of the set of consistent decision trees and the factors that affect the accuracy of individual trees. In particular, we investigated the relationship between the size of a decision tree consistent with some training data and the accuracy of the tree on test data. The experiments were performed on a massively parallel Maspar computer. The results of the experiments on several artificial and two real world problems indicate that, for many of the problems investigated, smaller consistent decision trees are on average less accurate than the average accuracy of slightly larger trees.

Includes members:
  Member "Learning Decision Lists Using Homogeneous Rules":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Combining Data Mining and Machine Learning for Effective User Profiling")
  Member "Lookahead and Pathology in Decision Tree Induction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Induction of Oblique Decision Trees")
  Member "In Defense of C4.5: Notes on Learning One-Level Decision Trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Learning to Represent Codons: A Challenge Problem for Constructive Induction")
  Member "What should be minimized in a decision tree: A re-examination":
    also connected through other hyperedges:
      (none)
  Member "Bias and the Quantification of Stability Bias and the Quantification of Stability Bias and the":
    also connected through other hyperedges:
      (none)

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