Abstract: Computational experiments method is an essential tool for analyzing, designing, managing, and integrating complex systems. However, a significant challenge arises in constructing agents with ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
Comparison of raw correlations (dashed) and causal effects (solid) of wind on UK day-ahead prices. Lines show the price change (GBP/MWh) from +1 GWh of predicted wind for the delivery hour across ...
Advisor: Kelilah L. Wolkowicz, Ph.D., Assistant Professor, Department of Mechanical & Industrial Engineering, UMass Lowell Co-Advisor: Mohammad Arif Ul Alam, Ph.D ...
QML-HCS is a research-grade framework for constructing, simulating, and analyzing quantum-inspired machine learning architectures with hypercausal feedback mechanisms. It integrates deterministic ...
Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...
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