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: "sensor scheduling for energy efficient target tracking in sensor networks"
  Abstract: In this paper, we study the problem of tracking an object moving randomly through a network of wireless sensors. Our objective is to devise strategies for scheduling the sensors to optimize the tradeoff between tracking performance and energy consumption. We cast the scheduling problem as a partially observable Markov decision process (POMDP), where the control actions correspond to the set of sensors to activate at each time step. Using a bottom-up approach, we consider different sensing, motion and cost models with increasing levels of difficulty. At the first level, the sensing regions of the different sensors do not overlap and the target is only observed within the sensing range of an active sensor. Then, we consider sensors with overlapping sensing range such that the tracking error, and hence the actions of the different sensors, are tightly coupled. Finally, we consider scenarios wherein the target locations and sensors' observations assume values on continuous spaces. Exact solutions are generally intractable even for the simplest models due to the dimensionality of the information and action spaces. Hence, we devise approximate solution techniques, and in some cases derive lower bounds on the optimal tradeoff curves. The generated scheduling policies, albeit suboptimal, often provide close-to-optimal energy-tracking tradeoffs.

Connected through hyperedge HE-1 (induced by source paper "novel sensor scheduling scheme for intruder tracking in energy efficient sensor networks"):
  with members:
    - "perseus randomized point based value iteration for pomdps"

Connected through hyperedge HE-2 (induced by source paper "cross layer estimation and control for cognitive radio exploiting sparse network dynamics"):
  with members:
    - "cross layer design of distributed sensing estimation with quality feedback part i optimal schemes"
    - "time invariant error bounds for modified cs based sparse signal sequence recovery"
    - "active sequential hypothesis testing"
    - "dynamic compressive sensing of time varying signals via approximate message passing"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "collaborative spectrum sensing from sparse observations in cognitive radio networks"
    - "cognitive interference management in retransmission based wireless networks"
    - "distributed compressive sensing"

Connected through hyperedge HE-3 (induced by source paper "markov decision processes with applications in wireless sensor networks a survey"):
  with members:
    - "distributed and centralized hybrid csma ca tdma schemes for single hop wireless networks"
    - "machine learning in wireless sensor networks algorithms strategies and applications"
    - "markov decision processes with multiple long run averageobjectives"
    - "on the complexity of solving markov decision problems"
    - "internet of things iot a vision architectural elements and future directions"
    - "delay optimal data forwarding in vehicular sensor networks"
    - "sleep control for tracking in sensor networks"
    - "one counter markov decision processes"

Connected through hyperedge HE-4 (induced by source paper "active classification for pomdps a kalman like state estimator"):
  with members:
    - "extrinsic jensen shannon divergence applications to variable length coding"
    - "near optimal adaptive compressed sensing"
    - "active sequential hypothesis testing"
    - "controlled sensing for multihypothesis testing"
    - "noisy bayesian active learning"
    - "near optimal bayesian active learning with noisy observations"
    - "algorithms for dynamic spectrum access with learning for cognitive radio"

Connected through hyperedge HE-5 (induced by source paper "nonlinear pomdps for active state tracking with sensing costs"):
  with members:
    - "extrinsic jensen shannon divergence applications to variable length coding"
    - "active classification for pomdps a kalman like state estimator"
    - "active sequential hypothesis testing"
    - "controlled sensing for multihypothesis testing"
    - "algorithms for dynamic spectrum access with learning for cognitive radio"

Connected through hyperedge HE-6 (induced by source paper "controlled sensing a myopic fisher information sensor selection algorithm"):
  with members:
    - "active sequential hypothesis testing"
    - "controlled sensing for multihypothesis testing"
    - "algorithms for dynamic spectrum access with learning for cognitive radio"

Connected through hyperedge HE-7 (induced by source paper "optimal strategies for communication and remote estimation with an energy harvesting sensor"):
  with members:
    - "sleep control for tracking in sensor networks"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling in an energy harvesting communication system"
    - "paging and registration in cellular networks jointly optimal policies and an iterative algorithm"

Connected through hyperedge HE-8 (induced by source paper "sleep control for tracking in sensor networks"):
  with members:
    - "value function approximations for partially observable markov decision processes"

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.MA(Multiagent Systems)