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: "Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV 1"
  Abstract: 1 Prepared for the NIPS 97 Workshop on Support Vector Machines. Research sponsored in part by NSF under Grant DMS-9704758 and in part by NEI under Grant R01 EY09946. This is a second revised and corrected version of a report of the same number and title dated November 29, 1997

Connected through hyperedge HE-1 (induced by source paper "Massive Data Discrimination via Linear Support Vector Machines"):
  with members:
    - "A Support Vector Machine Approach to Decision Trees"
    - "Support Vector Machines: Training and Applications"

Connected through hyperedge HE-2 (induced by source paper "Ridge Regression Learning Algorithm in Dual Variables"):
  with members:
    (none)

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