Search alternatives:
maximization algorithm » optimization algorithms (Expand Search), classification algorithm (Expand Search)
feature maximization » feature optimization (Expand Search), feature elimination (Expand Search)
process optimization » model optimization (Expand Search)
mapk process » mapk proteins (Expand Search), a process (Expand Search), acp process (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
a feature » _ feature (Expand Search), _ features (Expand Search), each feature (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
maximization algorithm » optimization algorithms (Expand Search), classification algorithm (Expand Search)
feature maximization » feature optimization (Expand Search), feature elimination (Expand Search)
process optimization » model optimization (Expand Search)
mapk process » mapk proteins (Expand Search), a process (Expand Search), acp process (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
a feature » _ feature (Expand Search), _ features (Expand Search), each feature (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
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Contextual Dynamic Pricing with Strategic Buyers
Published 2024“…The seller does not observe the buyer’s true feature, but a manipulated feature according to buyers’ strategic behavior. …”
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Supplementary Material 8
Published 2025“…</li><li><b>Linear discriminant Analysis (LDA) is a statistica</b>l approach that maximizes class separability. …”
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Adaptive Inference for Change Points in High-Dimensional Data
Published 2021“…On the estimation front, we obtain the convergence rate of the maximizer of our test statistic standardized by sample size when there is one change-point in mean and <i>q</i> = 2, and propose to combine our tests with a wild binary segmentation algorithm to estimate the change-point number and locations when there are multiple change-points. …”