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: "the entropy of a binary hidden markov process"
  Abstract: The entropy of a binary symmetric Hidden Markov Process is calculated as an expansion in the noise parameter e. We map the problem onto a one-dimensional Ising model in a large field of random signs and calculate the expansion coefficients up to second order in e. Using a conjecture we extend the calculation to 11th order and discuss the convergence of the resulting series

Connected through hyperedge HE-1 (induced by source paper "a randomized approach to the capacity of finite state channels"):
  with members:
    - "the bethe permanent of a nonnegative matrix"
    - "non asymptotic equipartition properties for independent and identically distributed sources"
    - "limit theorems in hidden markov models"
    - "entropy rate for hidden markov chains with rare transitions"
    - "entropy of hidden markov processes via cycle expansion"
    - "asymptotics of entropy rate in special families of hidden markov chains"
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "taylor series expansions for the entropy rate of hidden markov processes"

Connected through hyperedge HE-2 (induced by source paper "entropy rate calculations of algebraic measures"):
  with members:
    - "efficient tests for equivalence of hidden markov processes and quantum random walks"
    - "on analytic properties of entropy rate"
    - "asymptotics of entropy rate in special families of hidden markov chains"

Connected through hyperedge HE-3 (induced by source paper "limit theorems in hidden markov models"):
  with members:
    - "non asymptotic equipartition properties for independent and identically distributed sources"
    - "entropy rate for hidden markov chains with rare transitions"
    - "the capacity of finite state channels in the high noise regime"
    - "concavity of mutual information rate for input restricted finite state memoryless channels at high snr"
    - "asymptotics of entropy rate in special families of hidden markov chains"
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "taylor series expansions for the entropy rate of hidden markov processes"

Connected through hyperedge HE-4 (induced by source paper "the capacity of finite state channels in the high noise regime"):
  with members:
    - "derivatives of entropy rate in special families of hidden markov chains"
    - "maxwell construction the hidden bridge between iterative and maximum a posteriori decoding"
    - "life above threshold from list decoding to area theorem and mse"

Connected through hyperedge HE-5 (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"
    - "from finite system entropy to entropy rate for a hidden markov process"

Connected through hyperedge HE-6 (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"
    - "from finite system entropy to entropy rate for a hidden markov process"

Connected through hyperedge HE-7 (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"
    - "from finite system entropy to entropy rate for a hidden markov process"

Connected through hyperedge HE-8 (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"
    - "from finite system entropy to entropy rate for a 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)