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 "cooperative network localization using hybrid range and angle measurements"):
  Abstract: A reliable, accurate, and affordable positioning service is highly required in wireless networks. In this paper, a novel distributed message passing algorithm is proposed to solve the problem of cooperative network localization using both distance and angle of arrival estimates. This hybrid approach combines the distance and angle observations to reduce the uncertainty in localizing the network nodes. A statistical problem formulations is employed and approximate minimum mean square error (MMSE) estimates of the node locations are found. Numerical results are presented to show the improvement in localization performance compared to existing distance-only and angle-only localization methods. Moreover, the proposed algorithm improves the identifiability of the localization problem compared to range-only or angle-only localization techniques. That is, it can solve the problem with fewer anchor nodes and fewer connections in the network.

Includes members:
  Member "cooperative simultaneous localization and synchronization in mobile agent networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a belief propagation algorithm for multipath based slam")
  Member "a tractable analysis of the improvement in unique localizability through collaboration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "characterizing the impact of snr heterogeneity on time of arrival based localization outage probability")
  Member "loopy belief propagation for approximate inference an empirical study":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "analyzing differentiable fuzzy logic operators")
  Member "cooperative and distributed localization for wireless sensor networks in multipath environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a bayesian algorithm for distributed network localization using distance and direction data")

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)