We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

ABSTRACT: We analyze the efficiency of wheat farmers toward the ever-increasing demand for wheat in Tanzania. Translog production and cost functions were utilized in the stochastic frontier analysis ...

Ho, the John L. Weinberg Professor of Economics and Business Policy, was “a brilliant scholar, a charismatic teacher and a ...

Second, we selected variables and built the research model based on previous studies and the theory of persuasion. Next, the selected variables were extracted from the project text. We then performed ...

Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Wolfram SystemModeler on Windows PCs. Designed to support users with accurate documentation and ...