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: "A fast iterative algorithm for fisher discriminant using heterogeneous kernels"
  Abstract: We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the user to predefine a kernel function, we incorporate the task of choosing an appropriate kernel into the optimization problem to be solved. The choice of kernel is defined as a linear combination of kernels belonging to a potentially large family of different positive semidefinite kernels. The complexity of our algorithm does not increase significantly with respect to the number of kernels on the kernel family. Experiments on several benchmark datasets demonstrate that generalization performance of the proposed algorithm is not significantly different from that achieved by the standard KFD in which the kernel parameters have been tuned using cross validation. We also present results on a real-life colon cancer dataset that demonstrate the efficiency of the proposed method.

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"
    - "Laplacian twin support vector machine for semi-supervised classification"
    - "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 "Fisher+Kernel criterion for discriminant analysis"):
  with members:
    - "A two-stage head pose estimation framework and evaluation"

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