Results 111 to 120 of about 3,168,234 (244)

Benchmarking least squares support vector machine classifiers. [PDF]

open access: yes
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan   +7 more
core  

Development of a new meshless — point weighted least-squares (PWLS) method for computational mechanics

open access: yes, 2004
A truly meshless approach, point weighted least-squares (PWLS) method, is developed in this paper. In the present PWLS method, two sets of distributed points are adopted, i.e. fields node and collocation point.
Li, Hua, Wang, Q. X., Lam, K. Y.
core   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo   +9 more
wiley   +1 more source

Pareto parameter estimation by merging locally weighted median of multiple neural networks and weighted least squares

open access: yesAlexandria Engineering Journal
The Pareto distribution plays an important role in many data analysis tasks. An important aspect of this distribution is the estimation of its parameters.
Walid Aydi, Mohammed Alatiyyah
doaj   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

open access: yesArthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale   +6 more
wiley   +1 more source

Constrained Weighted Least-Squares Algorithms for 3-D AOA-Based Hybrid Localization

open access: yesIEEE Open Journal of Signal Processing
Source localization with time-of-arrival (TOA), time-difference-of-arrival (TDOA), time-delay (TD), received-signal-strength (RSS), or angle-of-arrival (AOA) measurements from several spatially distributed sensors is commonly used in practice.
Yanbin Zou   +3 more
doaj   +1 more source

Analysis of microelectromechanical systems (MEMS) devices by the meshless point weighted least-squares method

open access: yes, 2007
In this paper, the characteristics of microelectromechanical systems (MEMS) devices are analyzed by a meshless method—point weighted least-squares (PWLS) method. In the present meshless method, field nodes and collocation points are adopted.
Li, Hua, Wang, Q. X., Lam, K. Y.
core   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez   +5 more
wiley   +1 more source

Algorithms and literate programs for weighted low-rank approximation with missing data

open access: yes, 2010
Linear models identification from data with missing values is posed as a weighted low-rank approximation problem with weights related to the missing values equal to zero.
Markovsky, Ivan, Ivan Markovsky
core   +1 more source

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