human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes"):
  Abstract: A fundamental issue in active learning of Gaussian processes is that of the exploration-exploitation trade-off. This paper presents a novel nonmyopic e-Bayes-optimal active learning (e-BAL) approach that jointly and naturally optimizes the trade-off. In contrast, existing works have primarily developed myopic/greedy algorithms or performed exploration and exploitation separately. To perform active learning in real time, we then propose an anytime algorithm based on e-BAL with performance guarantee and empirically demonstrate using synthetic and real-world datasets that, with limited budget, it outperforms the state-of-the-art algorithms.

Includes members:
  Member "Efficient informative sensing using multiple robots":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Global A-Optimal Robot Exploration in SLAM")
  Member "Parallel gaussian process regression for big data: low-rank representation meets markov approximation":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science