Results 61 to 70 of about 8,828,165 (258)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Total Least Squares Methods

, 2010
Recent advances in total least squares approaches for solving various errors-in-variables modeling problems are reviewed, with emphasis on the following generalizations: 1.
Markovsky, Ivan, Sima, Diana M., Van Huffel, Sabine   +2 more
core   +1 more source

On weighted structured total least squares

, 2006
In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size
Markovsky, Ivan, Ivan Markovsky, Sabine Van Huffel, Van Huffel, Sabine   +3 more
core   +2 more sources

On the equivalence between Total Least Squares and Maximum Likelihood PCA

, 2005
The maximum likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Wentzell, P., Van Huffel, S., Peter D. Wentzell B, Schuermans, M., I. Markovsky A, M. Schuermans A, Markovsky, I., S. Van Huffel A   +7 more
core   +1 more source

Effects of an Inpatient Program on Medication Errors in Hospitalized People with Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Hospitalized people with Parkinson's disease (PwP) face increased risks of medication errors and discharge to non‐home settings, both of which are associated with adverse outcomes. This study assessed differences in medication error rates and discharge outcomes before and after implementation of a dedicated inpatient program for hospitalized ...
Camila C. Piccinin, Jeryl Ritzi T. Yu, Victoria Stepanyants, Olivia Hogue, Claire Sonneborn, Anne Brooks, Patricia Clark, Shannon Shaffer, Laurie Moser, Tatiana Lopez‐Gonzalez, Brent S. Sokola, Kim Lewin, Roman Popov, Scott A. Sperling, Hubert H. Fernandez, Benjamin L. Walter   +15 more
wiley   +1 more source

On The Errors-In-Variables Model With Singular Dispersion Matrices

Journal of Geodetic Science, 2014
While the Errors-In-Variables (EIV) Model has been treated as a special case of the nonlinear Gauss- Helmert Model (GHM) for more than a century, it was only in 1980 that Golub and Van Loan showed how the Total Least-Squares (TLS) solution can be ...
Schaffrin B., Snow K., Neitzel F.
doaj   +1 more source

Redescription of the Triassic cynodont Cistecynodon parvus and reassessment of its phylogeny

The Anatomical Record, EarlyView.
Abstract Cynodontia is an important subclade of Therapsida that first occurred in the late Permian. It includes extinct subclades which are the non‐mammaliaform cynodonts and Mammaliaformes, with the latter ultimately giving rise to crown mammals. The systematics of non‐mammaliaform cynodonts has been extensively studied and is relatively well‐resolved,
Erin S. Lund, Frederik P. Wolvaardt, Roger M. H. Smith, Jaganmoy Jodder, Julien Benoit   +4 more
wiley   +1 more source

Orthogonal least squares regression with tunable kernels [PDF]

, 2005
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X.X., Chen, S., Brown, D.J.
core   +2 more sources

Scaling and ecomorphology of lagomorph body shape and appendicular skeleton

The Anatomical Record, EarlyView.
Abstract Body shape is one of the most prominent features of phenotypic variation. Yet, mammalian body shapes are poorly quantified and the underlying components contributing to its diversity and its relationship to other skeletal components are rarely tested.
Nia Brice, Coby Huizenga, Chris J. Law
wiley   +1 more source

Deformation analysis by an improved similarity transformation

Applied Computing and Geosciences
In this contribution, deformation analysis is rigorously performed by a non-linear 3-D similarity transformation. In contrast to traditional methods based on linear least-squares (LLS), here we solve a non-linear problem without any linearization.
Vahid Mahboub
doaj   +1 more source