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: "Synthesize, Optimize, Analyze, Repeat (SOAR): Application of Neural Network Tools to ECG Patient Monitoring"
  Abstract: Results are reported from the application of tools for synthesizing, optimizing and analyzing neural networks to an ECG Patient Monitoring task. A neural network was synthesized from a rule-based classifier and optimized over a set of normal and abnormal heartbeats. The classification error rate on a separate and larger test set was reduced by a factor of 2. Sensitivity analysis of the synthesized and optimized networks revealed informative differences. Analysis of the weights and unit activations of the optimized network enabled a reduction in size of the network by a factor of 40% without loss of accuracy.

Connected through hyperedge HE-1 (induced by source paper "A Patient-Adaptive Neural Network ECG Patient Monitoring Algorithm"):
  with members:
    - "The Management of Context-Sensitive Features: A Review of Strategies"
    - "Recognition and Exploitation of Contextual Clues via Incremental Meta-Learning (Extended Version)"

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