"Kernel method"의 두 판 사이의 차이

2020년 12월 16일 (수) 19:09 판

Kernel methods are a class of algorithms well suited for such problems.^[1]
Kernel methods or kernel machines are a class of machine learning methods that can be used to handle the nonlinear issue.^[2]
In this paper, we review the applications of kernel methods for feature extraction in nonlinear process monitoring.^[2]
KPCA paved the framework for more kernel extensions of linear machines, known today as kernel methods.^[2]
There are a lot more types of Kernel Method and we have discussed the mostly used kernels.^[3]
Here we discuss an introduction, need, it’s working and types of kernel methods with the appropriate equation.^[3]
This paper introduces a kernel method for persistence diagrams to develop a statistical framework in TDA.^[4]
The use of kernel methods is systematic and properly motivated by statistical principles.^[5]
we present historical notes and summarize the main ingredients of kernel methods.^[5]
Section 32.4 discusses Gaussian processes, a class of kernel methods that uses a Bayesian approach to perform inference and learning.^[5]
Fuzzy c-means clustering algorithm based on kernel method.^[6]
I will certainly not be able to fully explain the kernel trick in this post.^[7]
Kernel methods refer to a class of techniques that employ positive definite kernels.^[8]

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 * Kernel methods are a class of algorithms well suited for such problems.<ref name="ref_9d0d">[http://members.cbio.mines-paristech.fr/~jvert/svn/kernelcourse/course/2019mva/ Machine learning with kernel methods, 2019]</ref>
-* Kernel methods allow ABAP kernel functions implemented in C or C++ to be called directly.<ref name="ref_e72c">[https://help.sap.com/doc/abapdocu_752_index_htm/7.52/en-US/abenkernel_methods.htm ABAP Keyword Documentation]</ref>
-* Kernel methods replace the previous concepts of C calls and system calls.<ref name="ref_e72c" />
-* Kernel methods offer the same checks and security features as regular ABAP methods.<ref name="ref_e72c" />
-* Except for the constructors and the C destructor, all ABAP methods can be implemented as kernel methods.<ref name="ref_e72c" />
 * Kernel methods or kernel machines are a class of machine learning methods that can be used to handle the nonlinear issue.<ref name="ref_4fac">[https://www.mdpi.com/2227-9717/8/1/24/htm A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring]</ref>
 * In this paper, we review the applications of kernel methods for feature extraction in nonlinear process monitoring.<ref name="ref_4fac" />