Results 61 to 70 of about 136,829,320 (227)
Abstract Prozostrodon brasiliensis, a probainognathian cynodont of the clade Prozostrodontia, is recognized as a key taxon for understanding the origin of Mammaliaformes and mammals. Despite detailed investigations of its cranial anatomy, the postcranial skeleton has received comparatively less attention.
Iasmim M. Michelotti +4 more
wiley +1 more source
OPTIMAL ESTIMATION OF RANDOM PROCESSES ON THE CRITERION OF MAXIMUM A POSTERIORI PROBABILITY
The problem of obtaining the equations for the a posteriori probability density of a stochastic Markov process with a linear measurement model. Unlike common approaches based on consideration as a criterion for optimization of the minimum mean square ...
A. A. Lobaty +2 more
doaj
This paper presents a method for extracting the digital elevation model (DEM) of forested areas from polarimetric interferometric synthetic aperture radar (PolInSAR) data. The method models the ground phase as a Von Mises distribution, with a mean of the
Xiaoshuai Li, Xiaolei Lv, Zenghui Huang
doaj +1 more source
Bayesian approach with extended support estimation for sparse linear regression
A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is proposed to estimate a sparse signal vector and its support given m linear measurements. Unlike the maximum a posteriori (MAP) support detection, which was proposed by Lee to estimate
Kyung-Su Kim, Sae-Young Chung
doaj +1 more source
ABSTRACT Aims Imatinib improves hemodynamics in pulmonary arterial hypertension (PAH), but dose‐dependent toxicity has limited its clinical development. We aimed to quantify the dose–efficacy–toxicity relationship and evaluate alternative dosing strategies using data from the PIPAH trial.
Medhat M. Said +13 more
wiley +1 more source
Speech Enhancement by MAP Spectral Amplitude Estimation Using a Super-Gaussian Speech Model
This contribution presents two spectral amplitude estimators for acoustical background noise suppression based on maximum a posteriori estimation and super-Gaussian statistical modelling of the speech DFT amplitudes.
Lotter Thomas, Vary Peter
doaj +1 more source
Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method [PDF]
To improve the learning accuracy of the parameters in a Bayesian network from a small data set, domain knowledge is normally incorporated into the learning process as parameter constraints.
Gao, Xiao-guang +5 more
core +1 more source
pyFDRT is an open‐source tool that converts an impedance spectrum into a quantitative equivalent circuit. Its Fourier‐transform stage requires no discretization basis or regularization parameter, and the non‐negative refinement selects its own parameters, and an information criterion determines the relaxation process count.
Chung‐Yul Yoo +2 more
wiley +1 more source
A perturbative Graetz model describes coupled heat and mass transfer in reactive Couette–Poiseuille flow between parallel plates. Viscous dissipation and heat of reaction produce a small temperature rise, which enhances Arrhenius reaction rates and modestly accelerates axial species conversion in the small‐Brinkman‐number regime.
Leonardo Damián Soria Rodríguez +1 more
wiley +1 more source
A Gibbs sampling approach to maximum a posteriori time delay and amplitude estimation
Arrival of a signal at a receiving sensor via multiple paths is a problem frequently encountered in many areas of signal processing, including sonar, radar, and communication problems. In this work, we present a novel method for estimation of time delays
Zoi-Heleni Michalopoulou +3 more
core +1 more source

