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 "on a generalization of the jensen shannon divergence"):
  Abstract: The Jensen-Shannon divergence is a renown bounded symmetrization of the Kullback-Leibler divergence which does not require probability densities to have matching supports. In this paper, we introduce a vector-skew generalization of the scalar $\alpha$-Jensen-Bregman divergences and derive thereof the vector-skew $\alpha$-Jensen-Shannon divergences. We study the properties of these novel divergences and show how to build parametric families of symmetric Jensen-Shannon-type divergences. Finally, we report an iterative algorithm to numerically compute the Jensen-Shannon-type centroids for a set of probability densities belonging to a mixture family: This includes the case of the Jensen-Shannon centroid of a set of categorical distributions or normalized histograms.

Includes members:
  Member "on the jensen shannon symmetrization of distances relying on abstract means":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "information geometric set embeddings igse from sets to probability distributions")
  Member "on f divergences integral representations local behavior and inequalities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on data processing and majorization inequalities for f divergences with applications")
  Member "monte carlo information geometry the dually flat case":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means")
  Member "information measures the curious case of the binary alphabet":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "bounded rational decision making from elementary computations that reduce uncertainty")
  Member "jeffreys centroids a closed form expression for positive histograms and a guaranteed tight approximation for frequency histograms":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means")
  Member "the burbea rao and bhattacharyya centroids":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the alpha divergences associated with a pair of strictly comparable quasi arithmetic means")
  Member "a family of statistical symmetric divergences based on jensen s inequality":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "explain graph neural networks to understand weighted graph features in node classification")
  Member "measures of distributional similarity":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means")

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)