Results 31 to 40 of about 148,863 (263)
Weighted p-norm distance t kernel SVM classification algorithm based on improved polarization
Scientific Reports, 2022 The kernel function in SVM enables linear segmentation in a feature space for a large number of linear inseparable data. The kernel function that is selected directly affects the classification performance of SVM.
Wenbo Liu, Shengnan Liang, Xiwen Qin
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Journal of Numerical Analysis and Approximation Theory, 2023 Our aim in this work is to extend the primal-dual interior point method based on a kernel function for linear fractional problem. We apply the techniques of kernel function-based interior point methods to solve a standard linear fractional program.
Mousaab Bouafia, Adnan Yassine
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Mathematics, 2021 Kernel clustering of categorical data is a useful tool to process the separable datasets and has been employed in many disciplines. Despite recent efforts, existing methods for kernel clustering remain a significant challenge due to the assumption of ...
Hui Chen +3 more
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Local Linear Approximation for Kernel Methods: The Railway Kernel [PDF]
, 2006 In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification problems, with the interesting property that acts locally as a linear kernel. In this way, we avoid potential problems due to the use of a general purpose kernel, like the RBF kernel, as the high dimension of the induced feature space ...
Alberto Muñoz +2 more
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Comparison of Phishing Detection Tests using the SVM Method with RBF and Linear Kernels
Sistemasi: Jurnal Sistem Informasi, 2023 Phising adalah sebuah tindakan kriminal untuk mencuri informasi pribadi orang lain menggunakan entitas electronic, salah satunya adalah website. Informasi ini dicuri dari website yang telah diakses yang mengandung phising atau dengan kata lain masuk ke ...
Rumini Rumini +3 more
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Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
G3: Genes, Genomes, Genetics, 2019 Kernel methods are flexible and easy to interpret and have been successfully used in genomic-enabled prediction of various plant species. Kernel methods used in genomic prediction comprise the linear genomic best linear unbiased predictor (GBLUP or GB ...
Jaime Cuevas +8 more
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Ilkom Jurnal Ilmiah, 2021 Sentiment analysis is a technique to extract information of ones perception, called sentiment, on an issue or event. This study employs sentiment analysis to classify societys response on covid-19 virus posted at twitter into 4 polars, namely happy, sad,
Rifqatul Mukarramah +2 more
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KERNEL LOGISTIC REGRESSION-LINEAR FOR LEUKEMIA CLASSIFICATION USING HIGH DIMENSIONAL DATA
JUTI: Jurnal Ilmiah Teknologi Informasi, 2009 Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques.
S P Rahayu +3 more
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On solutions of fractional order time varying linear dynamical systems model
Arab Journal of Basic and Applied Sciences, 2021 In this paper, the linear and nonlinear fractional order time varying linear dynamical systems model has been studied. The homotopy perturbation method is used to find the approximation solution.
Mahmut Modanli, Ali Akgül
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Evaluasi Ekstraksi Fitur GLCM dan LBP Menggunakan Multikernel SVM untuk Klasifikasi Batik
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Batik as one of Indonesia's cultural heritages has various types, motifs and colors. A batik may have almost the same motif with a different color or vice versa, therefore it requires a classification of batik motifs.
Pulung Nurtantio Andono +1 more
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