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: "Best Probability of Activation and Performance Comparisons for Several Designs of Sparse Distributed Memory"
  Abstract: Report R95:09 ISRN : SICS-R-95/09-SE ISSN : 0283-3638 Abstract The optimal probability of activation and the corresponding performance is studied for three designs of Sparse Distributed Memory, namely, Kanerva's original design, Jaeckel's selected-coordinates design and Karlsson's modifi - cation of Jaeckel's design. We will assume that the hard locations (in Karlsson's case, the masks), the storage addresses and the stored data are randomly chosen, and we will consider different levels of random noise in the reading address.

Connected through hyperedge HE-1 (induced by source paper "Some Comments on the Information Stored in Sparse Distributed Memory"):
  with members:
    - "Capacity of SDM"
    - "Convergence and new operations in SDM new method for converging in the SDM memory, utilizing"

Connected through hyperedge HE-2 (induced by source paper "Convergence and new operations in SDM new method for converging in the SDM memory, utilizing"):
  with members:
    - "Capacity of SDM"
    - "Some Comments on the Information Stored in Sparse Distributed Memory"

Connected through hyperedge HE-3 (induced by source paper "Capacity of SDM"):
  with members:
    - "Some Comments on the Information Stored in Sparse Distributed Memory"
    - "Convergence and new operations in SDM new method for converging in the SDM memory, utilizing"

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