Results 81 to 90 of about 136,474,496 (243)

Maximum a posteriori based unsupervised learning for images deblurring with cauchy noise

Applied Mathematics in Science and Engineering
In image restoration with a known blur kernel, Gaussian noise is commonly assumed, and corresponding removal methods have been extensively studied.
Meina Zhang, Yingying Li, Qingjie Cui, Guoxi Ni   +3 more
doaj   +1 more source

Autofocus technique for radar coincidence imaging with model error via iterative maximum a posteriori

The Journal of Engineering, 2019
Radar coincidence imaging (RCI) is a recently developed staring imaging technique based on the wavefront random modulation and temporal–spatial stochastic radiation field.
Feng Zhang, Xunling Liu, Xiaoli Zhou, Xu Wang, Weijian Liu   +4 more
doaj   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

Robust a priori and a posteriori error analysis for the approximation of Allen–Cahn and Ginzburg–Landau equations past topological changes [PDF]

, 2010
A priori and a posteriori error estimates are derived for the numerical approximation of scalar and complex valued phase field models. Particular attention is devoted to the dependence of the estimates on a small parameter and to the validity of the ...
Rüdiger Müller, Oleg Pikhurko (5364929), Pikhurko, Oleg, Christoph Ortner, Bohman, Tom, Tom Bohman (5364587), Ortner, Christoph, Bartels, Sören, Fonoberova, Maria, Maria Fonoberova (5366750), Müller, Rüdiger, Sören Bartels, Yan, Jingru   +12 more
core   +1 more source

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan, Lindsey B. Collins, Christopher Staley, Flavia Kiweewa Matovu, Pamala Jacobson, Melanie Nicol, Shen Cheng   +6 more
wiley   +1 more source

Avoiding Invalid Transitions in Land Cover Trajectory Classification With a Compound Maximum a Posteriori Approach

IEEE Access, 2020
Classifying remote sensing time-series in land cover trajectories can provide essential information about ecosystems functioning and about the impacts of natural phenomena or human activities over the environment.
Mariane Souza Reis, Luciano Vieira Dutra, Maria Isabel Sobral Escada, Sidnei Joao Siqueira Sant'anna   +3 more
doaj   +1 more source

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]

, 2006
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the ExpectationMaximization (EM) algorithm and its Monte Carlo variants. Our
Davy, Manuel, Doucet, Arnaud, Doucet, A, Johansen, Adam, Adam Johansen, Arnaud Doucet, Manuel Davy, Johansen, AM, Davy, M, A. Johansen, A. Doucet, Johansen, Adam M., M. Davy   +12 more
core   +1 more source

Adapting to Water Scarcity in Mediterranean Greenhouse Agriculture: Insights From Digital Irrigation and Regulated Water Governance in Southeastern Spain

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate‐driven water scarcity is compounding adaptation pressures on Mediterranean greenhouse farming, particularly for small and micro agricultural firms governed by regulated water‐governance systems. This paper analyses differentiated adaptation profiles in Almería (Spain) based on an analysis of farm structure, digital irrigation adoption,
Luis J. Belmonte‐Ureña, Francisco Camacho‐Ferre, Francisco José Castillo‐Díaz   +2 more
wiley   +1 more source

Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy

Science and Technology of Advanced Materials: Methods
We introduce a peak fitting method to estimate the model parameters and the number of peaks without using the conventional trial-and-error approach. The proposed method automatically removes excess peaks using maximum a posteriori estimation.
Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando   +4 more
doaj   +1 more source

Unveiling Dental Students’ Baseline Self‐Regulated Learning Skills During an Authentic Diagnostic Reasoning Task

Journal of Dental Education, EarlyView.
ABSTRACT Purpose/Objectives This study aimed to cross‐culturally adapt and gather validity evidence for two instruments—the Self‐Regulated Learning Microanalytic Assessment (SRL‐MA) and the Assessment of Reasoning Tool—Reconstructed (ART‐R)—for assessing dental students' baseline self‐regulated learning (SRL) skills and diagnostic reasoning performance
Lorena Isbej, Dominique Waterval, Arnoldo Riquelme, Claudia Véliz, Ana Andaur, Paulina Freire, Anique B. H. de Bruin   +6 more
wiley   +1 more source