Showing 181 - 200 results of 219 for search '"kernel regression"', query time: 3.85s Refine Results
  1. 181
  2. 182
    by Aliyari Ghassabeh, Youness
    Published 2013
    ... the clean data need to be estimated before the quanization step; improving the performance of kernel...
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  3. 183
    ...) as the least abundant species. The Kernel regression revealed strong and statistically significant association...
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  4. 184
    by Jung-Huei Lin, 林宗輝
    Published 2006
    ... for the effect of discontinuity of the regression function on the kernel regression estimator. However...
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  5. 185
  6. 186
    by Sturt, Bradley Eli.
    Published 2020
    ... learning methods (such as K-nearest neighbors, kernel regression, and random forests) with the proposed...
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  7. 187
    ... to the localization methods. By constructing a kernel regression analysis model between the electrode outputs...
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  8. 188
    ... the complex multidimensional aging pattern within the whole brain by applying established kernel regression...
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  9. 189
    by Lee, Dong Ryeol
    Published 2012
    ... many non-parametric methods such as kernel density estimation, kernel regression, Gaussian process...
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  10. 190
    by Leelasawassuk, Teesid
    Published 2016
    ... is looking at in the environment, is built using a data-driven approach via kernel regression. Comparative...
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  11. 191
    ... classification for object recognition, kernel regression, and unsupervised learning of categories. I show how...
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  12. 192
    by Doruska, Paul F.
    Published 2014
    ... was investigated. Kernel regression appears to fit closely to the interior data points but often possesses bias...
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  13. 193
    by George Stojan, Flavia Giammarino, Michelle Petri
    Published 2021-03-01
    ... examined using nonparametric statistical methods such as Spearman’s rho and Kernel regression. Results...
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    Article
  14. 194
    by Urbano, Simone
    Published 2019
    ... of Wiener model identification. Parametric (maximum likelihoodestimator) and non parametric (kernel...
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  15. 195
    by Benelmadani, Djihad
    Published 2019
    ... function of this model.We first consider the well-known kernel regression estimator proposed by Gasser...
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    by Chou, Yun-Feng, 周芸鋒
    Published 2010
    .... Kernel regression with elliptic radial basis functions (ERBFs) is proposed to describe and deform...
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  19. 199
    ... de políticas de redistribuição de terras. === Nonparametric kernel regression analysis disregards any...
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  20. 200
    ... de políticas de redistribuição de terras. === Nonparametric kernel regression analysis...
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