human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Classification of EEG Signals Using a Sparse Polynomial Builder"
  Abstract: Edward S. Orosz and Charles W. Anderson Technical Report CS-94-111 April 27, 1994

Connected through hyperedge HE-1 (induced by source paper "Learning Polynomial Functions by Feature Construction"):
  with members:
    - "Multivariate Decision Trees"
    - "Recursive Automatic Algorithm Selection for Inductive Learning"
    - "Dynamic Automatic Model Selection"
    - "Gain Adaptation Beats Least Squares?"

Question: Please tell me which class the center node 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