Sentence examples for kernel learning from inspiring English sources
Non-Parametric Kernel Learning (NPKL) is one of the most important kernel learning methods.
Pathway aggregation for survival prediction via multiple kernel learning.
And there is a whole lot of literature here related to kernel learning and multiple kernel learning.
And in fact, you can mix this idea with kernel and get multiple kernel learning ideas.
We propose here a novel Bayesian multiple kernel learning algorithm for affective classification and retrieval tasks.
To overcome this problem, we integrate feature selection and multiple kernel learning into the sparse coding on the manifold.
Furthermore, the prediction accuracy is boosted via Multi-kernel learning.
Multiple-kernel learning methods use multiple kernels by combining them into a single one via a combination function.
We apply a recently proposed technique – Multi-task Multi-Kernel Learning (MTMKL) – to the problem of modeling students' wellbeing.
Thus, a correlation aware multi-step ahead wind speed forecasting technique with heteroscedastic multi-kernel learning is designed.
