Results 111 to 120 of about 2,663,721 (268)

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. [PDF]

Proc Mach Learn Res, 2023
Ketenci M, Bhave S, Elhadad N, Perotte A.   +3 more
europepmc   +1 more source

Refractor Importance Sampling

, 2012
Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008)
Yu, Haohai, van Engelen, Robert A.
openaire   +2 more sources

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

Robust Arm and Hand Tracking by Unsupervised Context Learning

Sensors, 2014
Hand tracking in video is an increasingly popular research field due to the rise of novel human-computer interaction methods. However, robust and real-time hand tracking in unconstrained environments remains a challenging task due to the high number of ...
Vincent Spruyt, Alessandro Ledda, Wilfried Philips   +2 more
doaj   +1 more source

Importance sampling-accelerated simulation of full-spectrum backscattered diffuse reflectance. [PDF]

Biomed Opt Express, 2023
Mao J, Ling Y, Xue P, Su Y.
europepmc   +1 more source

Metamodel-based importance sampling for structural reliability analysis

, 2011
Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g.
Deheeger, F., Dubourg, V., Sudret, B.
core   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks

Mathematics
The application of machine learning and artificial intelligence to solve scientific challenges has significantly increased in recent years. A remarkable development is the use of Physics-Informed Neural Networks (PINNs) to solve Partial Differential ...
Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu   +4 more
doaj   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source

Robust Multiple Importance Sampling with Tsallis φ-Divergences. [PDF]

Entropy (Basel), 2022
Sbert M, Szirmay-Kalos L.
europepmc   +1 more source