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: "precision and recall for range based anomaly detection"
  Abstract: Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point. In this paper, we present a new mathematical model to express range-based anomalies, anomalies that occur over a range (or period) of time.

Connected through hyperedge HE-1 (induced by source paper "scaling video analytics on constrained edge nodes"):
  with members:
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "query focused video summarization dataset evaluation and a memory network based approach"
    - "fully convolutional siamese networks for object tracking"
    - "ssd single shot multibox detector"
    - "yolo9000 better faster stronger"
    - "end to end learning of action detection from frame glimpses in videos"
    - "action recognition using visual attention"
    - "exploiting local features from deep networks for image retrieval"

Connected through hyperedge HE-2 (induced by source paper "greenhouse a zero positive machine learning system for time series anomaly detection"):
  with members:
    - "macrobase prioritizing attention in fast data"
    - "tensorflow a system for large scale machine learning"
    - "evaluating real time anomaly detection algorithms the numenta anomaly benchmark"

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.AI(Artificial Intelligence)