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: "analyse non standard du bruit"
  Abstract: Thanks to the nonstandard formalization of fast oscillating functions, due to P. Cartier and Y. Perrin, an appropriate mathematical framework is derived for new non-asymptotic estimation techniques, which do not necessitate any statistical analysis of the noises corrupting any sensor. Various applications are deduced for multiplicative noises, for the length of the parametric estimation windows, and for burst errors.

Connected through hyperedge HE-1 (induced by source paper "easily implementable time series forecasting techniques for resource provisioning in cloud computing"):
  with members:
    - "time series modeling and large scale global solar radiation forecasting from geostationary satellites data"
    - "algebraic change point detection"
    - "non linear estimation is easy"

Connected through hyperedge HE-2 (induced by source paper "dynamic compensation and homeostasis a feedback control perspective"):
  with members:
    - "energy saving for building heating via a simple and efficient model free control design first steps with computer simulations"
    - "an efficient model free setting for longitudinal and lateral vehicle control validation through the interconnected pro sivic rtmaps prototyping platform"
    - "a simple and efficient feedback control strategy for wastewater denitrification"
    - "model based versus model free control designs for improving microalgae growth in a closed photobioreactor some preliminary comparisons"

Connected through hyperedge HE-3 (induced by source paper "short term solar irradiance and irradiation forecasts via different time series techniques a preliminary study"):
  with members:
    - "non linear estimation is easy"

Connected through hyperedge HE-4 (induced by source paper "algebraic change point detection"):
  with members:
    - "non linear estimation is easy"

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.CE(Computational Engineering, Finance, and Science)