Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...
Abstract: In order to solve the problem that the residual current threshold discriminating mechanism of grid-connected dc systems lacks the ability of fault type identification, a photovoltaic (PV) ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
Credit risk assessment has become one of the major concerns in modern finance regarding informed lending decisions. Although several studies have used traditional logistic regression and linear ...
A broken McDonald’s McFlurry machine, arguably one of life’s greatest nuisances, has finally been solved thanks to a court ruling. McDonald’s franchises haven’t been able to fix the soft serve ice ...
Abstract: Although an intuitionistic fuzzy twin support vector machines (IFTSVM) can reduce the impact of noise and outliers in classification problems, it is sensitive to noise, is unstable in ...
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