Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Support Vector Machines (SVMs) is known to be a porful nonparametric classification technique even for high-dimensional data. Although predictive ability is important, obtaining an easy-to-interpret classifier is also crucial in many applications. Linear SVM provides a classifier based on a linear score. In the case of functional data, the coefficient function that defines such linear score usually has many irregular oscillations, making it difficult to interpret.
['Belen Martin-Barragan', 'Rosa E. Lillo', 'Juan Romo']
I am writing a research paper on a idea Interpretable Support Vector Machines for Functional Data
[{"from": "human", "value": "I am writing a research paper on a idea Interpretable Support Vector Machines for Functional Data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Support Vector Machines (SVMs) is known to be a porful nonparametric classification technique even for high-dimensional data. Although predictive ability is important, obtaining an easy-to-interpret classifier is also crucial in many applications. Linear SVM provides a classifier based on a linear score. In the case of functional data, the coefficient function that defines such linear score usually has many irregular oscillations, making it difficult to interpret."}]