Results 1 to 10 of about 7,538,728 (303)
Importance Sampling with Unequal Support
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Importance sampling is often used in machine learning when training and testing data come from different distributions. In this paper we propose a new variant of importance sampling that can reduce the variance of importance samplingbased estimates by orders of magnitude when the supports of the training and testing distributions differ.
Philip S. Thomas, Emma Brunskill
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IEEE Access, 2020 In reliability and life testing experiments, obtaining complete data still consumes lots of time, financial and human supports. A censoring scheme which can have balance between the total testing time, the used number of units and cost in life tests is ...
Mazen Nassar, Saeed A. Dobbah
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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Importance Sampling in the Presence of PD-LGD Correlation
Risks, 2020 This paper seeks to identify computationally efficient importance sampling (IS) algorithms for estimating large deviation probabilities for the loss on a portfolio of loans. Related literature typically assumes that realised losses on defaulted loans can
Adam Metzler, Alexandre Scott
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Temperature Control of Fuel Cell Based on PEI-DDPG
EnergiesProton exchange membrane fuel cells (PEMFCs) constitute nonlinear systems that are challenging to model accurately. Therefore, a controller with robustness and adaptability is imperative for temperature control within the PEMFC stack.
Zichen Lu, Ying Yan
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On the Importance of Sampling [PDF]
, 2019 With the recent arrival of ray tracing to the real-time graphics pipeline, developers are faced with a new challenge: figuring out how to make the most of the rays that they’re able to trace. One important question to decide is for which lighting effects to trace rays—choices include shadows, reflections, ambient occlusion, and full global illumination.
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
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Journal of IsotopesNuclear resonance fluorescence (NRF) is an emerging nondestructive active inspection technology. Specific isotopes can be identified by analyzing the characteristic energy recorded in the gamma spectrum.
Chen ZHANG +3 more
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Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
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