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 ...
This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...
A modular, open-label, phase I/IIa study to evaluate the safety, tolerability, pharmacokinetics (PKs) and anti-tumour activity of a first-in-class (FIC) specific dUTPase inhibitor CV6-168 combined ...
ABSTRACT: The performance of Micro, Small, and Medium Enterprises (MSMEs) is influenced by several factors such as increasing competence, having commitment and work ethic, using information technology ...
Kevin Hulme’s tutorial titled, “Behind the Screams: M&S Anatomy and Decomposition of a Contemporary Ride System Attraction,” won the Best Tutorial at the Interservice/Industry Training, Simulation and ...
Abstract: This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...
Objective: Risk factors of new-onset atrial fibrillation (NOAF) in advanced lung cancer patients are not well defined. We aim to construct and validate a nomogram model between NOAF and advanced lung ...
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