Výsledky vyhledávání - modified kernel density estimation*

Enhancing decision credibility in transport safety through a modified IPSI–EXPROM Ⅱ–PAM model with kernel density estimation Autor Wang, Jiahao, Li, Ze, Guo, Zeyu, Wang, Zhiqing, Du, Shifan, Gao, Haojing, Du, Wenxian, Shi, Diwen, He, Lifantao, Qi, Linfei, Chen, Faan

“…, which substantially reduced the workload of decision-makers. Furthermore, Kernel Density Estimation (KDE…”
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Probabilistic and Deterministic Wind Speed Prediction: Ensemble Statistical Deep Regression Network Autor Farahbod, Solmaz, Niknam, Taher, Mohammadi, Mohammad, Aghaei, Jamshid, Shojaeiyan, Sattar

“… Then, to enhance the accuracy, a modified error-based loss function is proposed. Consequently, to provide a comprehensive form of information, a modified kernel density estimator is proposed to extract a set of probability density functions (PDFs) with a high level of accuracy and reliability. The simulation results and a comparative analysis on an actual dataset in London, U.K. demonstrate the high capability of the proposed probabilistic wind speed approach…”
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Versatile sequential sampling algorithm using Kernel Density Estimation Autor Roy, Pamphile T., Jofre, Lluís, Jouhaud, Jean-Christophe, Cuenot, Bénédicte

“…•Kernel Density Estimation is used to create an exclusion field around samples.•Performance in high dimensional space is shown to be superior to classic methods…”
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Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation Autor Cho, Eunji, Kim, Daijin

“…This letter proposes an accurate human pose estimation method that uses a modified kernel density approximation (m-KDA…”
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Tracking traffic congestion and accidents using social media data: A case study of Shanghai Autor Chang, Haoliang, Li, Lishuai, Huang, Jianxiang, Zhang, Qingpeng, Chin, Kwai-Sang

“…s.•A modified Kernel Density Estimation (KDE) method is proposed.•The spatial distributions of accident- and congestion-prone areas are compared…”
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Modified Fast Algorithm for the Bandwidth Selection of the Kernel Density Estimation Autor Lapko, A. V., Lapko, V. A.

“…A modification of the fast algorithm for the bandwidth selection of kernel functions in a nonparametric probability density estimate of the Rosenblatt…”
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Modified Kernel Density Estimators for Gridded Estimation of Precipitation Climatologies Autor Benton, Gregory

“… Using a novel approach based around kernel density estimation we attempt to improve on a currently available estimators of gridded precipitation in both accuracy and under- standing uncertainty…”
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Estimation of the climate change impact on a catchment water balance using an ensemble of GCMs Autor Reshmidevi, T.V., Nagesh Kumar, D., Mehrotra, R., Sharma, A.

“…: mid of the 21st century (2046–2065) and end of the century (2081–2100) are simulated using Modified Markov Model-Kernel Density Estimation (MMM-KDE…”
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Gaussian kernels for density estimation with compositional data Autor Chacón, J.E., Mateu-Figueras, G., Martín-Fernández, J.A.

“… In this paper, kernel density estimation methods are modified on the basis of recent developments in compositional data analysis and bandwidth matrix selection theory…”
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Electrical load forecasting: A deep learning approach based on K-nearest neighbors Autor Dong, Yunxuan, Ma, Xuejiao, Fu, Tonglin

“…Deep learning approaches have shown superior advantages than shallow techniques in the field of electrical load forecasting; however, their applications in…”
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Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval Autor Hirukawa, Masayuki

“…), can be applied to density estimation using the beta and modified beta kernels. It is shown that, under sufficient smoothness of the true density, both MBC techniques reduce…”
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A hybrid residual correction method with auxiliary particle filter and conditional kernel density estimation for remaining useful life prediction Autor Guo, Yulu, Shi, Hui, Dong, Zengshou

“…•A hybrid RUL prediction method based on residual correction is proposed.•The residual prediction model is established by residual reconstruction and CKDE.•The…”
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Measuring potential spatial access to primary health care physicians using a modified gravity model Autor SCHUURMAN, NADINE, BÉRUBÉ, MYRIAM, CROOKS, VALORIE A.

“…Ensuring equity of access to primary health care (PHC) across Canada is a continuing challenge, especially in rural and remote regions. Despite considerable…”
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Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths Autor Somé, Sobom M., Kokonendji, Célestin C., Adjabi, Smail, Mamode Khan, Naushad A., Beddek, Said

“…The modified (or second version) gamma kernel of Chen [ Probability density function estimation using gamma kernels , Annals of the Institute of Statistical Mathematics 52 (2000), pp. 471–480…”
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A MLE-based blind signal separation method for time–frequency overlapped signal using neural network Autor Pang, Lihui, Tang, Yilong, Tan, Qingyi, Liu, Yulang, Yang, Bin

“…) term of the objective function and used the kernel density estimation method for time…”
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An efficient QR-BiMGM model for probabilistic PV power forecasting Autor Ma, Xiping, Du, Haodong, Wang, Kaiyan, Jia, Rong, Wang, Songkai

“…The inherent volatility and randomness of PV output has posed a severe danger to the safe and stable functioning of power systems in recent years, as…”
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Kernel density estimation with a Markov chain Monte Carlo sample Autor Kim, Hang J., MacEachern, Steven N., Kim, Young Min, Jung, Yoonsuh

“… With this as motivation, a kernel density estimation method is proposed that is appropriate for the dependence in the Markov chain Monte Carlo output…”
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Measurement Error Assessment for Smart Electricity Meters Under Extreme Natural Environmental Stresses Autor Ma, Jun, Teng, Zhaosheng, Tang, Qiu, Qiu, Wei, Yang, Yingying

“… To tackle this problem, in this article, an optimized kernel density estimation (OKDE) is first proposed to identify potential outliers, where a modified distance function and adaptive kernel bandwidth are used to obtain the outlier score…”
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Spatiotemporal dynamics and multidimensional drivers of tourism development-ecological resilience coupling coordination in Jiangxi Province, China Autor Wang, Xingxing, Suk, Sunhee, Triana, Novelia, Xue, Yuting, Ma, Xiuben, Liu, Fenghua, Wang, Liguo, Liu, Yiming

“… Integrating SPA, PVAR, modified CCD, kernel density estimation, and XGBoost - SHAP, it constructs a hybrid framework to analyze spatiotemporal evolution and multi - dimensional drivers, focusing…”
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Convolutions of Totally Positive Distributions with applications to Kernel Density Estimation Autor Zartash, Ali, Robeva, Elina

“… Since estimating a totally positive density is a non-parametric problem, we take on a (modified) kernel density estimation approach…”
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