Results 41 to 50 of about 136,474,496 (243)
On Measure Concentration of Random Maximum A-Posteriori Perturbations
CoRR, 2013 The maximum a-posteriori (MAP) perturbation framework has emerged as a useful approach for inference and learning in high dimensional complex models. By maximizing a randomly perturbed potential function, MAP perturbations generate unbiased samples from the Gibbs distribution. Unfortunately, the computational cost of generating so many high-dimensional
Orabona, Francesco +3 more
openaire +4 more sources
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Several Kinematic Data Processing Methods for Time-Correlated Observations [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Time correlations always exist in modern geodetic data, and ignoring these time correlations will affect the precision and reliability of solutions. In this paper, several methods for processing kinematic time-correlated observations are studied. Firstly,
Bofeng LI,Zhetao ZHANG
doaj +1 more source
Maximum-a-Posteriori Estimation with Bayesian Confidence Regions [PDF]
SIAM Journal on Imaging Sciences, 2017 Solutions to inverse problems that are ill-conditioned or ill-posed may have significant intrinsic uncertainty. Unfortunately, analyzing and quantifying this uncertainty is very challenging, particularly in high-dimensional problems. As a result, while most modern mathematical imaging methods produce impressive point estimation results, they are ...
openaire +3 more sources
Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia
Advanced Science, EarlyView.The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song +13 more
wiley +1 more source
, 2019 Maximum a posteriori tree computed from phylogenetic inference of the damselfly genus Ischnura.
Beatriz Willink (570160) +5 more
core +1 more source
Advanced Science, EarlyView.The study integrates density functional theory with radiochemical and biological validation to compare DOTA‐, PSC‐, and DOTAM‐based chelator‐conjugates for 203Pb/212Pb theranostic applications. Distinct differences in metal coordination, electrostatic properties, conformational flexibility, cellular uptake, biodistribution, and dosimetry are identified
Jeongyun Kim +12 more
wiley +1 more source
Pharmaceutics, 2022 Model-informed precision dosing is being increasingly used to improve therapeutic drug monitoring. To meet this need, several tools have been developed, but open-source software remains uncommon. Posologyr is a free and open-source R package developed to
Cyril Leven, Anne Coste, Camille Mané
doaj +1 more source
Worst-Case Analysis is Maximum-A-Posteriori Estimation
CoRR, 2023 The worst-case resource usage of a program can provide useful information for many software-engineering tasks, such as performance optimization and algorithmic-complexity-vulnerability discovery. This paper presents a generic, adaptive, and sound fuzzing framework, called DSE-SMC, for estimating worst-case resource usage.
Hongjun Wu, Di Wang
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Advanced Energy Materials, EarlyView.Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang +17 more
wiley +1 more source