human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "Regularization Networks and Support Vector Machines"):
  with members:
    - "On the Noise Model of Support Vector Machines Regression"
    - "A fast iterative algorithm for fisher discriminant using heterogeneous kernels"
    - "Symbol design: a user-centered method to design pen-based interfaces and extend the functionality of pointer input devices"
    - "Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks"
    - "Online pose classification and walking speed estimation using handheld devices"

Connected through hyperedge HE-2 (induced by source paper "The Support Vector Regression with Adaptive Norms"):
  with members:
    - "Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Mathematics