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 "Error-Correcting Output Coding Corrects Bias and Variance"):
  Abstract: Previous research has shown that a technique called error-correcting output coding (ECOC) can dramatically improve the classification accuracy of supervised learning algorithms that learn to classify data points into one of k 2 classes. This paper presents an investigation of why the ECOC technique works, particularly when employed with decision-tree learning algorithms. It shows that the ECOC method| like any form of voting or committee|can reduce the variance of the learning algorithm. Furthermore|unlike methods that simply combine multiple runs of the same learning algorithm|ECOC can correct for errors caused by the bias of the learning algorithm. Experiments show that this bias correction ability relies on the non-local be havior of C4.5.

Includes members:
  Member "Using Decision Trees to Improve Case-Based Learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Refining Conversational Case Libraries")
  Member "Combining estimates in regression and classification":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Rule-based Machine Learning Methods for Functional Prediction")
  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")

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