human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "effective complexity of stationary process realizations"):
  Abstract: Abstract: The concept of effective complexity of an object as the minimal descriptionlength of its regularities has been initiated by Gell-Mann and Lloyd. The regularities aremodeled by means of ensembles, which is the probability distributions on ﬁnite binarystrings. In our previous paper [1] we propose a deﬁnition of effective complexity in preciseterms of algorithmic information theory. Here we investigate the effective complexity ofbinary strings generated by stationary, in general not computable, processes. We show thatunder not too strong conditions long typical process realizations are effectively simple. Ourresults become most transparent in the context of coarse effective complexity which is amodiﬁcation of the original notion of effective complexity that needs less parameters in itsdeﬁnition. Asimilarmodiﬁcationoftherelatedconceptofsophisticationhasbeensuggestedby Antunes and Fortnow.Keywords: effective complexity; Kolmogorov complexity; Shannon entropy; computablestationary processes; coarse effective complexity

Includes members:
  Member "effective complexity and its relation to logical depth":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "relativity of depth and sophistication")
  Member "kolmogorov s structure functions and model selection":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "intelligence physics and information the tradeoff between accuracy and simplicity in machine learning")

Question: Please tell me which class the source paper 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.IT(Information Theory)