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 "All-to-all Broadcast on the CNS-1"):
  Abstract: This study deals with the all-to-all broadcast on the CNS-1. We determine a lower bound for the run time and present an algorithm meeting this bound. Since this study points out a bottleneck in the network interface, we also analyze the performance of alternative interface designs. Our analyses are based on a run time model of the network.

Includes members:
  Member "A Performance Analysis of CNS-1 on Sparse Connectionist Networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Supercomputer for Neural Computation")
  Member "A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks Connectionist Network Supercomputer":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Performance Analysis of CNS-1 on Sparse Connectionist Networks")

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