Comparisons of the Laplace smoothing (LS) with the EBCR approach on three benchmark datasets: MovieLens-100K, MovieLens-1M and Jester.</p
<p>(A) Comparison of recall (blue line) and precision (red line) for KEREN when Laplacian kernel ins...
International audienceMultivariate nonparametric smoothers, such as kernel based smoothers and thin ...
Green, blue, and red colors represent the steady-state-based, the conventional LMSE, and dual optimi...
Comparisons of the Significance Weighting (SW) with the EBCR approach on three benchmark datasets: M...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Componentwise smoothing splines, longitudinal data, mean squared error, penalized least squares, sim...
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use,...
Regression spline smoothing is a popular approach for conducting nonparametric regression
We consider several conventional mesh smoothing approaches such as the Laplacian and bilaplacian smo...
Due to the poor quality of many nuclear medicine images, computer-driven smoothing procedures are fr...
<p>Comparison of calibration lines for (a) DRIFTS and (b) LIBS made by including 10% of the data in ...
<p>(a) Comparison on LFR networks with small mixing parameter and small communities; (b) Comparison ...
<p>(A) Comparison of recall (blue line) and precision (red line) for KEREN when Laplacian kernel ins...
International audienceMultivariate nonparametric smoothers, such as kernel based smoothers and thin ...
Green, blue, and red colors represent the steady-state-based, the conventional LMSE, and dual optimi...
Comparisons of the Significance Weighting (SW) with the EBCR approach on three benchmark datasets: M...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
<p>(a) Proposed smoothing algorithm. (b) HC Laplacian smoothing algorithm. (c) Algebraic point set s...
<p>Performance comparison of many metrics, including CSR, , MML, CH, SI for all algorithms in Leukem...
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.</p
Componentwise smoothing splines, longitudinal data, mean squared error, penalized least squares, sim...
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use,...
Regression spline smoothing is a popular approach for conducting nonparametric regression
We consider several conventional mesh smoothing approaches such as the Laplacian and bilaplacian smo...
Due to the poor quality of many nuclear medicine images, computer-driven smoothing procedures are fr...
<p>Comparison of calibration lines for (a) DRIFTS and (b) LIBS made by including 10% of the data in ...
<p>(a) Comparison on LFR networks with small mixing parameter and small communities; (b) Comparison ...
<p>(A) Comparison of recall (blue line) and precision (red line) for KEREN when Laplacian kernel ins...
International audienceMultivariate nonparametric smoothers, such as kernel based smoothers and thin ...
Green, blue, and red colors represent the steady-state-based, the conventional LMSE, and dual optimi...
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