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Efficient linearization of tree kernel functions [PDF]
Proceedings of the Thirteenth Conference on Computational Natural Language Learning - CoNLL '09, 2009 The combination of Support Vector Machines with very high dimensional kernels, such as string or tree kernels, suffers from two major drawbacks: first, the implicit representation of feature spaces does not allow us to understand which features actually triggered the generalization; second, the resulting computational burden may in some cases render ...
Pighin, Daniele, Moschitti, Alessandro
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Revista Tecnológica, 2017 El objetivo del trabajo fue evaluar la eficiencia del clasificador Máquina de Soporte Vectorial (SVM) con el método de separación linear, cuando se utiliza el algoritmo de extracción de características Histograma Orientado a Gradientes (HOG) y cuando no ...
Jessica Johanna Morales Carrillo
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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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Linear Kernel for Planar Connected Dominating Set [PDF]
Theoretical Computer Science, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lokshtanov, D., Mnich, M., Saurabh, S.
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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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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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Support Vector Machines in High Energy Physics [PDF]
, 2008 This lecture will introduce the Support Vector algorithms for classification and regression. They are an application of the so called kernel trick, which allows the extension of a certain class of linear algorithms to the non linear case.
Vossen, Anselm
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The Augmented Complex Kernel LMS
, 2011 Recently, a unified framework for adaptive kernel based signal processing of complex data was presented by the authors, which, besides offering techniques to map the input data to complex Reproducing Kernel Hilbert Spaces, developed a suitable Wirtinger ...
Bouboulis, Pantelis +2 more
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