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: "Increasing Consensus Accuracy in DNA Fragment Assemblies by Incorporating Fluorescent Trace Representations"
  Abstract: We present a new method for determining the consensus sequence in DNA fragment assemblies. The new method, Trace-Evidence, directly incorporates aligned ABI trace information into consensus calculations via our previously described representation, TraceData Classifications. The new method extracts and sums evidence indicated by the representation to determine consensus calls. Using the Trace-Evidence method results in automatically produced consensus sequences that are more accurate and less ambiguous than those produced with standard majority- voting methods. Additionally, these improvements are achieved with less coverage than required by the standard methods using Trace-Evidence and a coverage of only three, error rates are as low as those with a coverage of over ten sequences.

Connected through hyperedge HE-1 (induced by source paper "Improving the Quality of Automatic DNA Sequence Assembly using Fluorescent Trace-Data Classifications"):
  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