24 hours ago · The paper proposes an adaptive sampling strategy to efficiently handle imbalanced data, enhancing system responsiveness and predictive performance in machine ...

24 hours ago · For instance, adaptive sampling strategies can efficiently handle imbalanced data, improving predictive performances in scenarios with rare positive instances .

14 hours ago · Specifically, we review papers that attempt to answer “how the neural network trained via gradient-based methods finds the solution that can generalize well on ...

12 hours ago · A Methodology Establishing Linear Convergence of Adaptive Gradient Methods ... Enhancing Decision-Making in Energy Management Systems through Action-Independent ...

18 hours ago · Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing. Addit. Manuf. (2024), Article ...

11 hours ago · Here, we provide an overview of the application of traditional analytical parametric modeling to dynamic and distributed measurement systems. Subsequently, the ...

14 hours ago · This study proposes a robust and decentralized adaptive compensation (RoDeAC) method for the next-generation maRTHS benchmark problem. An initial calibration ...

22 hours ago · Advanced time-dependent reliability analysis based on adaptive sampling region with Kriging model. Aiming at accurately and efficiently estimating the time- ...

10 hours ago · Mathematics publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss ...