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 "cluster naturalistic driving encounters using deep unsupervised learning"):
  Abstract: Learning knowledge from driving encounters could help self-driving cars make appropriate decisions when driving in complex settings with nearby vehicles engaged. This paper develops an unsupervised classifier to group naturalistic driving encounters into distinguishable clusters by combining an auto-encoder with k-means clustering (AE-kMC). The effectiveness of AE-kMC was validated using the data of 10,000 naturalistic driving encounters which were collected by the University of Michigan, Ann Arbor in the past five years. We compare our developed method with the $k$-means clustering methods and experimental results demonstrate that the AE-kMC method outperforms the original k-means clustering method.

Includes members:
  Member "extracting traffic primitives directly from naturalistically logged data for self driving applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "spatiotemporal learning of multivehicle interaction patterns in lane change scenarios")
  Member "autoencoder regularized network for driving style representation learning":
    also connected through other hyperedges:
      (none)
  Member "accelerated evaluation of automated vehicles safety in lane change scenarios based on importance sampling techniques":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning to collide an adaptive safety critical scenarios generating method")
  Member "trafficnet an open naturalistic driving scenario library":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a behavior driven approach for sampling rare event situations for autonomous vehicles")
  Member "empirical study of dsrc performance based on safety pilot model deployment data":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mcity data collection for automated vehicles study")
  Member "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "autonomous highway driving using deep reinforcement learning")
  Member "accelerated evaluation of automated vehicles in car following maneuvers":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning to collide an adaptive safety critical scenarios generating method")

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.LG(Machine Learning)