Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the problem of exploiting global information to improve the performance of SVMs on large scale classication problems.  rst present a unied general framework for the existing min-max machine methods in terms of within-class dispersions and beten-class dispersions. By dening a new within-class dispersion measure,  then propose a novel max-margin ratio machine (MMRM) method that can be formulated as a linear programming problem with scalability for large data sets. Kernels can be easily incorporated into our method to address non-linear classication problems. Our empirical results show that the proposed MMRM approach achieves promising results on large data sets.
['Suicheng Gu', 'Yuhong Guo']
I am writing a research paper on a idea Max-Margin Ratio Machine
[{"from": "human", "value": "I am writing a research paper on a idea Max-Margin Ratio Machine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the problem of exploiting global information to improve the performance of SVMs on large scale classication problems.  rst present a unied general framework for the existing min-max machine methods in terms of within-class dispersions and beten-class dispersions. By dening a new within-class dispersion measure,  then propose a novel max-margin ratio machine (MMRM) method that can be formulated as a linear programming problem with scalability for large data sets. Kernels can be easily incorporated into our method to address non-linear classication problems. Our empirical results show that the proposed MMRM approach achieves promising results on large data sets."}]