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 "An Inductive Learning Approach to Prognostic Prediction"):
  Abstract: This paper introduces the Recurrence Surface Approximation, an inductive learning method based on linear programming that predicts recurrence times using censored training examples, that is, examples in which the available training output may be only a lower bound on the "right answer." This approach is augmented with a feature selection method that chooses an appropriate feature set within the context of the linear programming generalizer. Computational results in the field of breast cancer prognosis are shown. A straightforward translation of the prediction method to an artificial neural network model is also proposed.

Includes members:
  Member "Irrelevant Features and the Subset Selection Problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "NP-Completeness of Searches for Smallest Possible Feature Sets a subset of the set of all")
  Member "A Neural Network Model for Prognostic Prediction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Individual and Collective Prognostic Prediction")
  Member "Individual and Collective Prognostic Prediction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A Neural Network Model for Prognostic Prediction")

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: Neural_Networks