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 "Laplacian twin support vector machine for semi-supervised classification"):
  Abstract: Semi-supervised learning has attracted a great deal of attention in machine learning and data mining. In this paper, we have proposed a novel Laplacian Twin Support Vector Machine (called Lap-TSVM) for the semi-supervised classification problem, which can exploit the geometry information of the marginal distribution embedded in unlabeled data to construct a more reasonable classifier and be a useful extension of TSVM. Furthermore, by choosing appropriate parameters, Lap-TSVM degenerates to either TSVM or TBSVM. All experiments on synthetic and real data sets show that the Lap-TSVM's classifier combined by two nonparallel hyperplanes is superior to Lap-SVM and TSVM in both classification accuracy and computation time.

Includes members:
  Member "Regularization Networks and Support Vector Machines":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "On the Noise Model of Support Vector Machines Regression")
  Member "The Support Vector Regression with Adaptive Norms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression")

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: Mathematics