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: "Negative observations concerning approximations from spaces generated by scattered shifts of functions vanishing at 1"
  Abstract: Approximation by scattered shifts f( ff)g ff2A of a basis function are considered, and different methods for localizing these translates are compared. It is argued in the note that the superior localization processes are those that employ the original translates only.

Connected through hyperedge HE-1 (induced by source paper "Approximation from shift-invariant subspaces of L"):
  with members:
    - "Radial basis function approximation: from gridded centers to scattered centers"

Connected through hyperedge HE-2 (induced by source paper "Radial basis function approximation: from gridded centers to scattered centers"):
  with members:
    - "Radial Basis Functions: L p -approximation orders with scattered centres"
    - "APPROXIMATION IN L p (R d FROM SPACES SPANNED BY THE PERTURBED INTEGER TRANSLATES OF"
    - "Approximation from shift-invariant subspaces of L"

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