Search alternatives:
maximization algorithm » optimization algorithms (Expand Search), classification algorithm (Expand Search)
feature maximization » feature optimization (Expand Search), feature elimination (Expand Search)
based optimization » whale optimization (Expand Search)
binary wave » binary image (Expand Search)
wave based » made based (Expand Search), game based (Expand Search), rate based (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)
based optimization » whale optimization (Expand Search)
binary wave » binary image (Expand Search)
wave based » made based (Expand Search), game based (Expand Search), rate based (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)
-
1
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. …”
-
2
-
3
Supplementary Material 8
Published 2025“…</li><li><b>Linear discriminant Analysis (LDA) is a statistica</b>l approach that maximizes class separability. …”
-
4
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. …”