Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
Not much has gone right for the Baltimore Orioles during the 2025 MLB regular season when it comes to the additions that were made this past winter. Several players signed in free agency have provided ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine learning ...
Richardson Library Staff updated City Council on future plans and past achievements. (Dustin Butler/Community Impact) After earning recognition for excellence, Richardson Public Library is expanding ...
CHICAGO – The American Library Association (ALA) today released the highly anticipated Top 10 Most Challenged Books List as part of the 2025 State of America’s Libraries Report that highlights the ...
Abstract: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...
ABSTRACT: The rapid growth of technology impacts all aspects of modern life, including banking and financial transactions. While these industries benefit significantly from technological advancements, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback