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 "online algorithms for multi shop ski rental with machine learned predictions"):
  Abstract: We study the problem of augmenting online algorithms with machine learned (ML) predictions. In particular, we consider the \emph{multi-shop ski rental} (MSSR) problem, which is a generalization of the classical ski rental problem. In MSSR, each shop has different prices for buying and renting a pair of skis, and a skier has to make decisions on when and where to buy. We obtain both deterministic and randomized online algorithms with provably improved performance when either a single or multiple ML predictions are used to make decisions. These online algorithms have no knowledge about the quality or the prediction error type of the ML predictions. The performance of these online algorithms are robust to the poor performance of the predictors, but improve with better predictions. We numerically evaluate the performance of our proposed online algorithms in practice.

Includes members:
  Member "optimal algorithms for ski rental with soft machine learned predictions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "learning assisted competitive algorithms for peak aware energy scheduling")
  Member "learning assisted competitive algorithms for peak aware energy scheduling":
    also connected through other hyperedges:
      (none)
  Member "a model for learned bloom filters and optimizing by sandwiching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learned indexes for dynamic workloads")
  Member "online computation with untrusted advice":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "online metric algorithms with untrusted predictions")
  Member "competitive caching with machine learned advice":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "online convex optimization for caching networks")
  Member "revenue optimization with approximate bid predictions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "online metric algorithms with untrusted predictions")
  Member "the multi shop ski rental problem":
    also connected through other hyperedges:
      (none)
  Member "rent lease or buy randomized algorithms for multislope ski rental":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "online algorithms for information aggregation from distributed and correlated sources")

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.DS(Data Structures and Algorithms)