Kernel Methods

2020 ◽  
pp. 383-402
Keyword(s):  
Kernel Methods

Imbalanced Data Detection Kernel Method in Closed Systems

2013 ◽  
Vol 756-759 ◽  
pp. 3652-3658
Author(s):  
You Li Lu ◽  
Jun Luo
Keyword(s):  
Kernel Methods ◽  
Kernel Method ◽  
Imbalanced Data ◽  
Data Detection ◽  
Data Sets ◽  
System Call ◽  
Data Set ◽  
Imbalanced Data Sets ◽  
Lower Complexity ◽  
Closed Systems

Under the study of Kernel Methods, this paper put forward two improved algorithm which called R-SVM & I-SVDD in order to cope with the imbalanced data sets in closed systems. R-SVM used K-means algorithm clustering space samples while I-SVDD improved the performance of original SVDD by imbalanced sample training. Experiment of two sets of system call data set shows that these two algorithms are more effectively and R-SVM has a lower complexity.

scholarly journals Kernel methods in system identification, machine learning and function estimation: A survey

Automatica ◽  
2014 ◽  
Vol 50 (3) ◽  
pp. 657-682 ◽  
Author(s):  
Gianluigi Pillonetto ◽  
Francesco Dinuzzo ◽  
Tianshi Chen ◽  
Giuseppe De Nicolao ◽  
Lennart Ljung
Keyword(s):  
Machine Learning ◽  
System Identification ◽  
Kernel Methods ◽  
Function Estimation ◽  
And Function

Superconvergent Nyström and degenerate kernel methods for eigenvalue problems

2011 ◽  
Vol 217 (20) ◽  
pp. 7851-7866 ◽  
Author(s):  
C. Alouch ◽  
P. Sablonnière ◽  
D. Sbibih ◽  
M. Tahrichi
Keyword(s):  
Kernel Methods ◽  
Eigenvalue Problems ◽  
Degenerate Kernel

scholarly journals Premise Selection for Mathematics by Corpus Analysis and Kernel Methods

2013 ◽  
Vol 52 (2) ◽  
pp. 191-213 ◽  
Author(s):  
Jesse Alama ◽  
Tom Heskes ◽  
Daniel Kühlwein ◽  
Evgeni Tsivtsivadze ◽  
Josef Urban
Keyword(s):  
Kernel Methods ◽  
Corpus Analysis ◽  
Selection For

Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters

NeuroImage ◽  
2010 ◽  
Vol 50 (3) ◽  
pp. 883-892 ◽  
Author(s):  
Katja Franke ◽  
Gabriel Ziegler ◽  
Stefan Klöppel ◽  
Christian Gaser
Keyword(s):  
Kernel Methods ◽  
Healthy Subjects ◽  
Mri Scans

A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods

2015 ◽  
Vol 10 (2) ◽  
pp. 1-32 ◽  
Author(s):  
Aniket Chakrabarti ◽  
Venu Satuluri ◽  
Atreya Srivathsan ◽  
Srinivasan Parthasarathy
Keyword(s):  
Kernel Methods ◽  
Locality Sensitive Hashing
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