human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "learning regular languages over large ordered alphabets"
  Abstract: This work is concerned with regular languages defined over large alphabets,#N#either infinite or just too large to be expressed enumeratively. We define a#N#generic model where transitions are labeled by elements of a finite partition#N#of the alphabet. We then extend Angluin's L* algorithm for learning regular#N#languages from examples for such automata. We have implemented this algorithm#N#and we demonstrate its behavior where the alphabet is a subset of the natural#N#or real numbers. We sketch the extension of the algorithm to a class of#N#languages over partially ordered alphabets.

Connected through hyperedge HE-1 (induced by source paper "regular omega languages with an informative right congruence"):
  with members:
    - "families of dfas as acceptors of omega regular languages"
    - "transducers with origin information"

Connected through hyperedge HE-2 (induced by source paper "learning nominal automata"):
  with members:
    - "smt solving for functional programming over infinite structures"
    - "automata theory in nominal sets"
    - "ltl with the freeze quantifier and register automata"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LO(Logic in Computer Science)