Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150001
Abstract: Support Vector Machine (SVM) is a supervised machine learning algorithm, which is used for robust and accurate classification. Despite its advantages, its classification speed deteriorates due to its large number of support vectors when dealing… read more here.
Keywords: vector machine; kernel parameter; support vector; support ... See more keywords
Optimized Kernel Entropy Components.
Sign Up to like & getrecommendations! Published in 2017 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2016.2530403
Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting… read more here.
Keywords: optimized kernel; kernel; kernel parameter; kernel entropy ... See more keywords
Optimized Kernel Entropy Components
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2530403.
Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting… read more here.
Keywords: optimized kernel; kernel; kernel parameter; kernel entropy ... See more keywords
Kernel Error Path Algorithm.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3153953
Abstract: Tuning the values of kernel parameters plays a vital role in the performance of kernel methods. Kernel path algorithms have been proposed for several important learning algorithms, including support vector machine and kernelized Lasso, which… read more here.
Keywords: path algorithm; error path; kernel parameter; path ... See more keywords