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: "relative alpha entropy minimizers subject to linear statistical constraints"
  Abstract: We study minimization of a parametric family of relative entropies, termed relative $\alpha$-entropies (denoted $\mathscr{I}_{\alpha}(P,Q)$). These arise as redundancies under mismatched compression when cumulants of compressed lengths are considered instead of expected compressed lengths. These parametric relative entropies are a generalization of the usual relative entropy (Kullback-Leibler divergence). Just like relative entropy, these relative $\alpha$-entropies behave like squared Euclidean distance and satisfy the Pythagorean property. Minimization of $\mathscr{I}_{\alpha}(P,Q)$ over the first argument on a set of probability distributions that constitutes a linear family is studied. Such a minimization generalizes the maximum R\'{e}nyi or Tsallis entropy principle. The minimizing probability distribution (termed $\mathscr{I}_{\alpha}$-projection) for a linear family is shown to have a power-law.

Connected through hyperedge HE-1 (induced by source paper "minimization problems based on relative alpha entropy i forward projection"):
  with members:
    - "minimization problems based on relative alpha entropy ii reverse projection"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"
    - "minimization problems based on a parametric family of relative entropies ii reverse projection"
    - "further results on geometric properties of a family of relative entropies"
    - "guessing revisited a large deviations approach"
    - "guessing under source uncertainty"

Connected through hyperedge HE-2 (induced by source paper "minimization problems based on relative alpha entropy ii reverse projection"):
  with members:
    - "encoding tasks and renyi entropy"
    - "minimization problems based on relative alpha entropy i forward projection"
    - "renyi divergence and kullback leibler divergence"
    - "guessing revisited a large deviations approach"
    - "guessing under source uncertainty"

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)