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 "a generalized expression for the gradient of mutual information application in multiple access channel with feedback"):
  Abstract: This paper introduces a new functional approach to describe an expression for the gradient of mutual information with respect to the system parameters in general stochastic systems. In this approach the system input can be dependent on the system parameters in general cases. As an application of this model, it allows us to express the roles of interference and feedback and their interactions in a Multiple Access Channel (MAC) system. Using these results, we extend the mutual information and Minimum Mean Square Error (MMSE) relations to the additive Gaussian noise MAC with feedback. In this regard, it is shown that the gradient of mutual information can be decomposed into three distinct parts that are originated from MMSE, interference and feedback. Then, we interpret the destructive effect of interference and the constructive impact of feedback on this channel. Moreover, doing a comparative study we show the capability of the proposed functional approach to give more insights into the some of the available results in the literature.

Includes members:
  Member "information estimation and lookahead in the gaussian channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a generalized expression for the gradient of the fundamental information measures")
  Member "mutual information relative entropy and estimation in the poisson channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a class of lower bounds for bayesian risk with a bregman loss")
  Member "mutual information and minimum mean square error in gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the information bottleneck problems models connections applications and information theoretic views")

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)