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: "Design of Optimization Criteria for Multiple Sequence Alignment"
  Abstract: DIMACS Technical Report 96-53 January 1997

Connected through hyperedge HE-1 (induced by source paper "Efficient Algorithms for Inverting Evolution"):
  with members:
    - "On the Approximability of Numerical Taxonomy (Fitting Distances by Tree Metrics)"
    - "TREE CONTRACTIONS AND EVOLUTIONARY TREES"
    - "Constructing Big Trees from Short Sequences"
    - "Learning Distributions from Random Walks"

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