Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In ranking problems, the goal is to learn a ranking function from labeled pairs of input points. ,  consider the related comparison problem, where the label indicates which element of the pair is better, or if there is no significant difference.  cast the learning problem as a margin maximization, and show that it can be solved by converting it to a standard SVM.  use simulated nonlinear patterns and a real learning to rank sushi data set to show that our proposed SVMcompare algorithm outperforms SVMrank when there are equality pairs.
['Toby Dylan Hocking', 'Supaporn Spanurattana', 'Masashi Sugiyama']
I am writing a research paper on a idea Support vector comparison machines
[{"from": "human", "value": "I am writing a research paper on a idea Support vector comparison machines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In ranking problems, the goal is to learn a ranking function from labeled pairs of input points. ,  consider the related comparison problem, where the label indicates which element of the pair is better, or if there is no significant difference.  cast the learning problem as a margin maximization, and show that it can be solved by converting it to a standard SVM.  use simulated nonlinear patterns and a real learning to rank sushi data set to show that our proposed SVMcompare algorithm outperforms SVMrank when there are equality pairs."}]