Results 161 to 170 of about 27,189 (192)

Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression. [PDF]

Entropy (Basel)
Lyu L, Guo X, Liu Z.
europepmc   +1 more source

A Novel Approach of Pig Weight Estimation Using High-Precision Segmentation and 2D Image Feature Extraction. [PDF]

Animals (Basel)
Chen Y, Li Z, Yin L, Kuang Y.
europepmc   +1 more source

Reflection-enhanced LIF for improved label-free classification of blood inflammation with complementary LIBS validation. [PDF]

Anal Bioanal Chem
Abdelazeem RM, Abdel-Salam Z, Abdel-Harith M.   +2 more
europepmc   +1 more source

Tree structural modeling from leaf-on point clouds for biomass carbon stock estimation. [PDF]

Sci Rep
Nakamura Y, Yamazaki T, Shirakawa H, Tanikawa H, Nagao M.   +4 more
europepmc   +1 more source

Climate-induced shifts in cod spawning phenology across the North Atlantic. [PDF]

Sci Rep
Pollet-Calderini C, Kirby R, Castant J, Leroy M, Robert D, Beaugrand G.   +5 more
europepmc   +1 more source

Evaluating ensemble learning approaches for horizontal gene transfer detection. [PDF]

Sci Rep
Wijaya AJ, Anžel A, Hattab G.
europepmc   +1 more source

Reinforcement learning-based optimal control for stochastic opinion dynamics. [PDF]

Sci Rep
Chen Y, Gao H, Mazalov VV, Liu Y.
europepmc   +1 more source

On Convergence Rates of Convex Regression in Multiple Dimensions

INFORMS Journal on Computing, 2014
We consider a least squares estimator for estimating a convex function f*: [0, 1]d → ℝ with bounded subgradients. A rate at which the sum of squared differences between the estimator and the true function f* converges to zero is computed. This work sheds light on computing the convergence rate of the multidimensional convex regression estimator.
Eunji Lim
exaly   +3 more sources

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Consistency of Multidimensional Convex Regression

Operations Research, 2012
Convex regression is concerned with computing the best fit of a convex function to a data set of n observations in which the independent variable is (possibly) multidimensional. Such regression problems arise in operations research, economics, and other disciplines in which imposing a convexity constraint on the regression function is natural.
Eunji Lim
exaly   +2 more sources