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Tr(R2) control charts based on kernel density estimation for monitoring multivariate variability process
Published 2019-01-01Subjects: Get full text
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Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.
Published 2014-01-01“…Four selected vocal measures were projected by the KPCA onto the bivariate feature space, in which the class-conditional feature densities can be approximated with the nonparametric kernel density estimation technique. In the vocal pattern classification experiments, Fisher's linear discriminant analysis (FLDA) was applied to perform the linear classification of voice records for healthy control subjects and PD patients, and the maximum a posteriori (MAP) decision rule and support vector machine (SVM) with radial basis function kernels were employed for the nonlinear classification tasks. …”
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84
Real-Time Point Recognition for Seedlings Using Kernel Density Estimators and Pyramid Histogram of Oriented Gradients
Published 2024-02-01Subjects: Get full text
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85
Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization
Published 2023-12-01Subjects: Get full text
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86
A cyclically adjusted spatio-temporal kernel density estimation method for predictive crime hotspot analysis
Published 2023-04-01Subjects: “…Spatio-temporal kernel density estimation (STKDE)…”
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87
Probability prediction of short-term user-level load based on random forest and kernel density estimation
Published 2022-08-01Subjects: Get full text
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88
An Improved Variable Kernel Density Estimator Based on <i>L</i><sub>2</sub> Regularization
Published 2021-08-01Subjects: Get full text
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89
Probability Density Forecasting of Wind Power Based on Transformer Network with Expectile Regression and Kernel Density Estimation
Published 2023-03-01Subjects: Get full text
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90
The Use of Kernel Density Estimation to Examine Associations between Neighborhood Destination Intensity and Walking and Physical Activity.
Published 2015-01-01“…Destinations within these areas were geocoded and kernel density estimates of destination intensity were created using kernels of 400m (meters), 800m and 1200m. …”
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91
Wind power interval prediction based on hybrid semi-cloud model and nonparametric kernel density estimation
Published 2022-07-01Subjects: “…Nonparametric kernel density estimation…”
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92
Mapping of residential fires in the urban area of Santa Maria, RS, Brazil using Kernel density estimator
Published 2016-07-01“…After the collection and location of data, densities of fires in the study area using the kernel density estimator were estimated. The results support the argument that fires are more frequent in the city in north-western area, as in this area the standard of the buildings is of low quality and the urban infrastructure presented is in disrepair.…”
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93
Finding the best location for installing of wildlife signs using kernel density estimation in Khojir National Park
Published 2015-01-01“…Kernel density estimation is one of the best methods for finding a suitable location for installing the signs. …”
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94
Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection
Published 2012-06-01Subjects: Get full text
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Using a kernel density estimation based classifier to predict species-specific microRNA precursors
Published 2008-12-01“…The classification mechanism in miR-KDE is the relaxed variable kernel density estimator (RVKDE) that we have recently proposed. …”
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A New Acoustic Emission Source Location Method Using Tri-Variate Kernel Density Estimator
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Analisis Penggunaan Metode Kernel Density Estimation pada Loss Distribution Approach untuk Risiko Operasional
Published 2017-01-01“…Kata kunci: risiko operasional, loss distribution approach, metode monte carlo, kernel density estimation…”
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Demonstration and validation of Kernel Density Estimation for spatial meta-analyses in cognitive neuroscience using simulated data
Published 2017-08-01“…This Data in Brief article demonstrates and validates the use of Kernel Density Estimation (KDE) as a novel statistical approach to neuroimaging data. …”
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Wind speed model based on kernel density estimation and its application in reliability assessment of generating systems
Published 2017-01-01Subjects: Get full text
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100
A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting
Published 2015“…We present a hybrid model combining two types of probabilistic forecast, a kernel density estimation (KDE) and a quantile regression, as part of the load forecasting track of the Global Energy Forecasting Competition 2014 (GEFCom 2014). …”
Journal article