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 "mismatched multiterminal source coding"):
  Abstract: We consider a multiterminal source coding problem in which a random source signal is estimated from encoded versions of multiple noisy observations. Each encoded version, however, minimizes a local distortion measure, defined only with respect to the distribution of the corresponding noisy observation. We denote the form of encoding as mismatched multiterminal encoding (MME).We derive a single letter expression for the minimal distortion under MME of an i.i.d source. We evaluate this expression for the case of a Gaussian source observed through multiple parallel AWGN channels and quadratic distortion and in the case of a nonuniform binary i.i.d source observed through multiple binary symmetric channels under Hamming distortion. For the case of a Gaussian source, we show that there is no loss of performance compared to the indirect source coding distortion-rate function due to MME using a centralized encoder and small code rates, whereas distributed encoding achieves distortion strictly larger then in an optimal multiterminal source coding scheme. For the case of a binary source, we show that even with a single observation, the distortion-rate function under MME is strictly larger than that of indirect source coding.

Includes members:
  Member "indirect rate distortion function of a binary i i d source":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on zero delay rdf for vector valued gauss markov sources with additional noise")
  Member "a connection between good rate distortion codes and backward dmcs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the likelihood encoder for lossy compression")

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)