报告题目Kernel-based Probability Measures for Data Analysis: A Deterministic or Stochastic Problem?

报告人:Qi Ye华南师范大学

时间:2019年1014日(星期10:00—11:00

地点:苏州大学本部精正楼(数学楼)301

  

摘要In the talk, we introduce a concept of kernel-based probability measures on Banach spaces to solve a deterministic problem by a stochastic approach such as collocations and interpolations. We combine the theory of numerical analysis, regression analysis, and stochastic analysis to renew the classical kernel-based approximation methods for data analysis and machine learning. The kernel-based probability measures give a numerical tool to construct and analyze the kernel-based estimators based on the generalized data including kernel-based algorithms and error analysis.

  

  

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