kernel methods造句

Software is available for using both parametric and nonparametric kernel methods.
Kernel adaptive filters implement a nonlinear transfer function using kernel methods.
Hierarchies have also been considered in the context of kernel methods.
The LoCoH method has a number of advantages over parametric kernel methods.
Computer packages for using parametric and nonparametric kernel methods are available online.
It's difficult to find kernel methods in a sentence. 用kernel methods造句挺难的

Kernel methods owe their name to the use of graphs, text, images, as well as vectors.
Approaches range from applying SVM with kernel methods to semantic role labeling ( SRL ) to deep semantic parsing techniques.
These modes of convergence are confirmation of the statement in the motivation section that kernel methods lead to reasonable density estimators.
He is a leading researcher in the machine learning community, where he is particularly active in the field of kernel methods.
Some pattern recognition problems in machine olfaction such as odor classification and odor localization can be solved by using time series kernel methods.
If this is done in a reproducing kernel Hilbert space, a kernel method can be a universal approximator for a nonlinear function.
Ridge regression is one form of RLS; in general, RLS is the same as ridge regression combined with the kernel method.
He has contributed extensively to several major interests of Machine Learning, including Support Vector Machines and Kernel methods, and Neural Networks.
Kernel methods have the advantage of having convex loss functions, with no local minima, and of being only moderately complex to implement.
In the literature on kernel methods for machine learning, these generalized notions of energy distance are studied under the name of maximum mean discrepancy.

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