Results 81 to 90 of about 3,885,736 (246)
Retracted: Estimation Model for Bread Quality Proficiency Using Fuzzy Weighted Relevance Vector Machine Classifier. [PDF]
And Biomechanics AB.
europepmc +1 more source
Dynamic cointegration and relevant vector machine: the relationship between gold and silver [PDF]
We use the Relevant Vector Machine, a technique of supervised learning introduced by Tipping (2001), to conduct a dynamic cointegration analysis on the time series of the price of gold and silver over the period 1971-2004.
Isabella Procidano +2 more
core
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
Local Regularization Assisted Orthogonal Least Squares Regression
A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well.
Chen, S.
core +1 more source
Pattern and predictors of death from aluminum and zinc phosphide poisoning using multi-kernel optimized relevance vector machine. [PDF]
Abdelghafar S +5 more
europepmc +1 more source
The forecasting of evaporative loss (E) is vital for water resource management and understanding of hydrological process for farming practices, ecosystem management and hydrologic engineering.
Deo, Ravinesh C. +2 more
core +1 more source
The mantis shrimp telson reveals how ridged biological shields control deformation under impact. Inspired by this architecture, telson‐inspired ridged curved shells transform ridge geometry and macroscopic curvature into bidirectional snap‐through, tunable stiffness, and enhanced hysteretic energy dissipation for multifunctional architected materials ...
Phani Saketh Dasika +5 more
wiley +1 more source
Correction for covariate measurement error in nonparametric regression [PDF]
Many areas of applied statistics have become aware of the problem of measurement error-prone variables and their appropriate analysis. Simply ignoring the error in the analysis usually leads to biased estimates, like e.g.
Rummel, David
core +1 more source
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning.
Christopher M. Bishop
core
tum-camp/survival-support-vector-machine v2.0
<p>This release adds an efficient training algorithm for the kernel survival support vector machine.</p ...
Sebastian Pölsterl
core +1 more source

