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: "from finite system entropy to entropy rate for a hidden markov process"
  Abstract: A recent result presented the expansion for the entropy rate of a Hidden Markov Process (HMP) as a power series in the noise variable $\eps$. The coefficients of the expansion around the noiseless ($\eps = 0$) limit were calculated up to 11th order, using a conjecture that relates the entropy rate of a HMP to the entropy of a process of finite length (which is calculated analytically). In this communication we generalize and prove the validity of the conjecture, and discuss the theoretical and practical consequences of our new theorem.

Connected through hyperedge HE-1 (induced by source paper "on analytic properties of entropy rate"):
  with members:
    - "the ergodic decomposition of asymptotically mean stationary random sources"
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "the entropy of a binary hidden markov process"

Connected through hyperedge HE-2 (induced by source paper "entropy of hidden markov processes via cycle expansion"):
  with members:
    - "hidden markov process a new representation entropy rate and estimation entropy"
    - "the entropy of a binary hidden markov process"

Connected through hyperedge HE-3 (induced by source paper "asymptotics of entropy rate in special families of hidden markov chains"):
  with members:
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "the entropy of a binary hidden markov process"

Connected through hyperedge HE-4 (induced by source paper "the entropy rate of the binary symmetric channel in the rare transitions regime"):
  with members:
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "taylor series expansions for the entropy rate of hidden markov processes"
    - "the entropy of a binary hidden markov process"

Connected through hyperedge HE-5 (induced by source paper "derivatives of entropy rate in special families of hidden markov chains"):
  with members:
    - "taylor series expansions for the entropy rate of hidden markov processes"
    - "the entropy of a binary hidden markov process"

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.IT(Information Theory)