flâneur

machine learning - How to intuitively explain what a kernel is? - Cross Validated

stats.stackexchange.com · 3,557 words · saved by 1 readers

Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It only takes a minute to sign up. Teams Q&A for work Connect and share knowledge within a single location that is structured and easy to search. Many machine learning classifiers (e.g. support vector machines) allow one to specify a kernel. What would be an intuitive way of explaining what a kernel is? One aspect I have been thinking of is the distinction between linear and non-linear kernels. In simple terms, I could speak of 'linear decision functions' an 'non-linear decision functions'. However, I am not sure if calling a kernel a 'decision function' is a good idea. Suggestions? Kernel is a way of computing the dot product of two vectors

machine learning - How to intuitively explain what a kernel is? - Cross Validated Stack Internal Knowledge at work Bring the best of human thought and AI automation together at your work. Explore Stack Internal How to intuitively explain what a kernel is? Ask Question Asked 11 years, 2 months ago Modified 2 years, 2 months ago Viewed 144k times 188 $\begingroup$ Many machine learning classifiers (e.g. support vector machines) allow one to specify a kernel. What would be an intuitive way of explaining what a kernel is? One aspect I have been thinking of is the distinction between linear and non

related reading