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 simultaneous localization and tracking in mobile agent networks"):
  Abstract: We introduce a framework and methodology of cooperative simultaneous localization and tracking (CoSLAT) in decentralized mobile agent networks. CoSLAT provides a con- sistent combination of cooperative self-localization (CS L) and distributed target tracking (DTT). Multiple mobile targets and mobile agents are tracked using pairwise measurements between agents and targets and between agents. We propose a distributed CoSLAT algorithm that combines particle-based belief propa- gation with the likelihood consensus scheme and performs a bidirectional probabilistic information transfer between CSL and DTT. Simulation results demonstrate significant improveme nts in both self-localization and target tracking performance compared to separate CSL and DTT.

Includes members:
  Member "approximate evaluation of marginal association probabilities with belief propagation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a belief propagation algorithm for multipath based slam")
  Member "cooperative synchronization in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimizing reweighted belief propagation for likelihood consensus problems")
  Member "sigma point belief propagation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "peregrine network localization and navigation with scalable inference and efficient operation")
  Member "belief consensus algorithms for fast distributed target tracking in wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cooperative network node positioning techniques using underwater radio communications")
  Member "simultaneous distributed sensor self localization and target tracking using belief propagation and likelihood consensus":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed joint sensor registration and multitarget tracking via sensor network")
  Member "gossip algorithms for distributed signal processing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "inverse graph learning over optimization networks")

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)