Cargando…

The Impact of Different Kernel Functions on the Performance of Scintillation Detection Based on Support Vector Machines †

Scintillation caused by the electron density irregularities in the ionospheric plasma leads to rapid fluctuations in the amplitude and phase of the Global Navigation Satellite Systems (GNSS) signals. Ionospheric scintillation severely degrades the performance of the GNSS receiver in the signal acqui...

Descripción completa

Detalles Bibliográficos
Autores principales:	Savas, Caner, Dovis, Fabio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928998/ https://www.ncbi.nlm.nih.gov/pubmed/31795093 http://dx.doi.org/10.3390/s19235219

Ejemplares similares

Regularization, optimization, kernels, and support vector machines
por: Suykens, Johan A K, et al.
Publicado: (2015)

Support Vector Machines and Kernels for Computational Biology
por: Ben-Hur, Asa, et al.
Publicado: (2008)

Ranking Support Vector Machine with Kernel Approximation
por: Chen, Kai, et al.
Publicado: (2017)

Privacy Preserving RBF Kernel Support Vector Machine
por: Li, Haoran, et al.
Publicado: (2014)

Learning with kernels: support vector machines, regularization, optimization, and beyond
por: Schölkopf, Bernhard, et al.
Publicado: (2002)

Support Vector Machine with Ensemble Tree Kernel for Relation Extraction
por: Liu, Xiaoyong, et al.
Publicado: (2016)

An introduction to support vector machines: and other kernel-based learning methods
por: Cristianini, Nello, et al.
Publicado: (2003)

Classifying DNA repair genes by kernel-based support vector machines
por: Jiang, Hao, et al.
Publicado: (2011)

Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data
por: Jiang, Hao, et al.
Publicado: (2012)

Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine
por: Zhang, Shao-Wu, et al.
Publicado: (2014)

Identification of MicroRNA Precursors with Support Vector Machine and String Kernel
por: Xu, Jian-Hua, et al.
Publicado: (2008)

Churn prediction in telecommunication industry using kernel Support Vector Machines
por: Y., Nguyen Nhu, et al.
Publicado: (2022)

Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection
por: Park, Jinho, et al.
Publicado: (2012)

Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO
por: Li, Yang, et al.
Publicado: (2018)

Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology
por: Yang, Jiachen, et al.
Publicado: (2019)

A new pairwise kernel for biological network inference with support vector machines
por: Vert, Jean-Philippe, et al.
Publicado: (2007)

POPISK: T-cell reactivity prediction using support vector machines and string kernels
por: Tung, Chun-Wei, et al.
Publicado: (2011)

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
por: Jäger, Jonas, et al.
Publicado: (2023)

A Multi-Label Learning Based Kernel Automatic Recommendation Method for Support Vector Machine
por: Zhang, Xueying, et al.
Publicado: (2015)

Multivariate Pattern Analysis of Lifelong Premature Ejaculation Based on Multiple Kernel Support Vector Machine
por: Geng, Bowen, et al.
Publicado: (2022)

Emotion Recognition from Single-Trial EEG Based on Kernel Fisher's Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine
por: Liu, Yi-Hung, et al.
Publicado: (2014)

Classification of EEG Signals Using a Multiple Kernel Learning Support Vector Machine
por: Li, Xiaoou, et al.
Publicado: (2014)

Prediction of post-translational modification sites using multiple kernel support vector machine
por: Wang, BingHua, et al.
Publicado: (2017)

Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel
por: Mastropietro, Andrea, et al.
Publicado: (2023)

Towards a piRNA prediction using multiple kernel fusion and support vector machine
por: Brayet, Jocelyn, et al.
Publicado: (2014)

Calculation of exact Shapley values for support vector machines with Tanimoto kernel enables model interpretation
por: Feldmann, Christian, et al.
Publicado: (2022)

Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier
por: Saygılı, Ahmet
Publicado: (2021)

Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis
por: Segera, Davies, et al.
Publicado: (2019)

An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine
por: Zhang, Yudong, et al.
Publicado: (2013)

Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel
por: Jia, Danbing, et al.
Publicado: (2014)

A Model-Based Design Floating-Point Accumulator. Case of Study: FPGA Implementation of a Support Vector Machine Kernel Function †
por: Bassoli, Marco, et al.
Publicado: (2020)

An introduction to support vector machines : and other kernel-based learning methods
por: Cristianini, Nello
Publicado: (2000)

Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures
por: Arana-Daniel, Nancy, et al.
Publicado: (2016)

Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach
por: Vivian‐Griffiths, Timothy, et al.
Publicado: (2018)

PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
por: Meher, Prabina Kumar, et al.
Publicado: (2021)

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines
por: Renaud, Nicolas, et al.
Publicado: (2020)

EEG-based neonatal seizure detection with Support Vector Machines
por: Temko, A., et al.
Publicado: (2011)

Alumina Concentration Detection Based on the Kernel Extreme Learning Machine
por: Zhang, Sen, et al.
Publicado: (2017)

On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection
por: Garbin Manfredini, Esteban, et al.
Publicado: (2016)

Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features
por: Jeong, Boram, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_iboju6881q9v8b18m14060ok6o