Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This review examines kernel methods for online learning, in particular, multiclass classification.  examine margin-based approaches, stemming from Rosenblatt's original perceptron algorithm, as ll as nonparametric probabilistic approaches that are based on the popular gaussian process framework.  also examine approaches to online learning that use combinations of kernels-online multiple kernel learning.  present empirical validation of a wide range of methods on a protein fold recognition data set, where different biological feature types are available, and two object recognition data sets, Caltech101 and Caltech256, where multiple feature spaces are available in terms of different image feature extraction methods.
['Tom Diethe', 'Mark A. Girolami']
I am writing a research paper on a idea Online learning with multiple kernels: A review
[{"from": "human", "value": "I am writing a research paper on a idea Online learning with multiple kernels: A review"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This review examines kernel methods for online learning, in particular, multiclass classification.  examine margin-based approaches, stemming from Rosenblatt's original perceptron algorithm, as ll as nonparametric probabilistic approaches that are based on the popular gaussian process framework.  also examine approaches to online learning that use combinations of kernels-online multiple kernel learning.  present empirical validation of a wide range of methods on a protein fold recognition data set, where different biological feature types are available, and two object recognition data sets, Caltech101 and Caltech256, where multiple feature spaces are available in terms of different image feature extraction methods."}]