Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Learning with Fredholm kernel has attracted increasing attention recently since it can effectively utilize the data information to improve the prediction performance. Despite rapid progress on theoretical and experimental evaluations, its generalization analysis has not been explored in learning theory literature. ,  establish the generalization bound of least square regularized regression with Fredholm kernel, which implies that the fast learning rate   O(l−1)      O  (   l   −  1    )         can be reached under mild conditions ( l  is the number of labeled samples). Simulated examples show that this Fredholm regression algorithm can achieve the satisfactory prediction performance.
['Yanfang Tao', 'Peipei Yuan', 'Biqin Song']
I am writing a research paper on a idea Error analysis of regularized least-square regression with Fredholm kernel
[{"from": "human", "value": "I am writing a research paper on a idea Error analysis of regularized least-square regression with Fredholm kernel"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Learning with Fredholm kernel has attracted increasing attention recently since it can effectively utilize the data information to improve the prediction performance. Despite rapid progress on theoretical and experimental evaluations, its generalization analysis has not been explored in learning theory literature. ,  establish the generalization bound of least square regularized regression with Fredholm kernel, which implies that the fast learning rate   O(l\u22121)      O  (   l   \u2212  1    )         can be reached under mild conditions ( l  is the number of labeled samples). Simulated examples show that this Fredholm regression algorithm can achieve the satisfactory prediction performance."}]