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: "an elementary introduction to information geometry"
  Abstract: We describe the fundamental diﬀerential-geometric structures of information manifolds, state #R##N##TAB#the fundamental theorem of information geometry, and illustrate some uses of these information #R##N##TAB#manifolds in information sciences. The exposition is self-contained by concisely introducing the #R##N##TAB#necessary concepts of diﬀerential geometry with proofs omitted for brevity.

Connected through hyperedge HE-1 (induced by source paper "the alpha divergences associated with a pair of strictly comparable quasi arithmetic means"):
  with members:
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "on conformal divergences and their population minimizers"
    - "the burbea rao and bhattacharyya centroids"

Connected through hyperedge HE-2 (induced by source paper "entropic regularization of markov decision processes"):
  with members:
    - "a theory of regularized markov decision processes"
    - "tsallis reinforcement learning a unified framework for maximum entropy reinforcement learning"
    - "maximum causal tsallis entropy imitation learning"
    - "path consistency learning in tsallis entropy regularized mdps"
    - "sparse markov decision processes with causal sparse tsallis entropy regularization for reinforcement learning"
    - "a unified view of entropy regularized markov decision processes"
    - "proximal policy optimization algorithms"
    - "f divergence inequalities"

Connected through hyperedge HE-3 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means"):
  with members:
    - "on power chi expansions of f divergences"
    - "monte carlo information geometry the dually flat case"
    - "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
    - "optimal interval clustering application to bregman clustering and statistical mixture learning"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "bootstrap methods for the empirical study of decision making and information flows in social systems"
    - "jeffreys centroids a closed form expression for positive histograms and a guaranteed tight approximation for frequency histograms"

Connected through hyperedge HE-4 (induced by source paper "on geodesic triangles with right angles in a dually flat space"):
  with members:
    - "on a convergence property of a geometrical algorithm for statistical manifolds"
    - "monte carlo information geometry the dually flat case"
    - "topological data analysis with bregman divergences"
    - "cramer rao lower bound and information geometry"
    - "the burbea rao and bhattacharyya centroids"
    - "statistical exponential families a digest with flash cards"

Connected through hyperedge HE-5 (induced by source paper "clustering in hilbert simplex geometry"):
  with members:
    - "learning continuous hierarchies in the lorentz model of hyperbolic geometry"
    - "representation tradeoffs for hyperbolic embeddings"
    - "hyperbolic entailment cones for learning hierarchical embeddings"
    - "on holder projective divergences"
    - "fast 1 epsilon approximation of the lowner extremal matrices of high dimensional symmetric matrices"
    - "large margin nearest neighbor classification using curved mahalanobis distances"
    - "further heuristics for k means the merge and split heuristic and the k l means"
    - "no dimension independent core sets for containment under homothetics"

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.LG(Machine Learning)