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 "Optimal Alignments in Linear Space using Automaton-derived Cost Functions (Extended Abstract) Submitted to CPM'96"):
  Abstract: In a previous paper [SM95], we showed how finite automata could be used to define objective functions for assessing the quality of an alignment of two (or more) sequences. In this paper, we show some results of using such cost functions. We also show how to extend Hischberg's linear space algorithm [Hir75] to this setting, thus generalizing a result of Myers and Miller [MM88b].

Includes members:
  Member "Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Towards a Better Understanding of Memory-Based Reasoning Systems")

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