Art deco design motifs informed the interior of Atypique, an artisan workshop and specialty coffee shop in the Spanish port ...
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
Abstract: Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data.
ABSTRACT: Industrial appearance anomaly detection (AD) focuses on accurately identifying and locating abnormal regions in images. However, due to issues such as scarce abnormal samples, complex ...
ABSTRACT: Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling ...
Abstract: Machine learning (ML)-based intrusion detection systems (IDSs) are crucial in safeguarding computer networks against malicious activities. However, building an optimal (accurate and ...
% f_i(w) = 1/2 * (max(0.0, 1 - y_i .* (w'*x_i) )^2 + lambda/2 * w^2. % "w" is the model parameter of size d vector. % This file is part of DADAM. % Created on Jan. 17, 2019 % Note that partial code is ...
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A Support Vector Machine (SVM) is a supervised learning algorithm utilized in the field of machine learning. It is primarily applied to perform tasks such as classification and regressionThis ...
1 Department of Computer Science, Colorado State University, Fort Collins, CO, United States 2 Department of Mathematics, Colorado State University, Fort Collins, CO, United States In the ...
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