Abstract: Video-based crowd counting (VCC) is a high demanded technique in many video applications. Existing supervised VCC methods essentially learn an intrinsic mapping function between image ...
Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...
Common Kernel Types in SVC Kernel Name kernel= Use Case Notes Linear 'linear' When data is linearly separable Fastest and most interpretable Polynomial 'poly' For curved boundaries Can capture more ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
We introduce an interpretable model family called zero-shot concept bottleneck models (Z-CBMs), which predict concepts and labels in a fully zero-shot manner without training neural networks. Z-CBMs ...
Regression tasks, which involve predicting continuous numeric values, have traditionally relied on numeric heads such as Gaussian parameterizations or pointwise tensor projections. These traditional ...
In this paper, we propose the hard thresholding regression (HTR) for estimating high-dimensional sparse linear regression models. HTR uses a two-stage convex algorithm to approximate the 𝓁₀-penalized ...
The Annals of Statistics, Vol. 49, No. 4, Memorial issue for Charles Stein (August 2021), pp. 1864-1903 (40 pages) Stein’s formula states that a random variable of the form zT f (z) − div f(z) is mean ...
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