ESTIMATING DRYING SHRINKAGE OF CONCRETE USING A MULTIVARIATE ADAPTIVE REGRESSION SPLINES APPROACH

Multivariate Adaptive Regression Splines

Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

This study proposes a novel artificial intelligence (AI) model to estimate the shear strength of reinforcedconcrete (RC) deep beams. The proposed evolutionary multivariate adaptive regression splines (EMARS) model is a hybrid of multivariate adaptive regression splines (MARS) and artificial bee colony (ABC). In EMARS, MARS addresses learning and curve fitting and ABC implements optimization to ...

Discussion: Multivariate Adaptive Regression Splines

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Bootstrapping Conic Multivariate Adaptive Regression Splines (Bcmars)

Bootstrapping is a computer-intensive statistical method which treats the data set as a population and draws samples from it with replacement. This resampling method has wide application areas especially in mathematically intractable problems. In this study, it is used to obtain the empirical distributions of the parameters to determine whether they are statistically significant or not in a spe...

Survival Analysis with Multivariate adaptive Regression Splines

Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two covariates. In this dissertation a new proposal to model survival type data with MARS is introduced. Martingale and deviance residuals of a Cox PH model are used as response in a common MARS approach to model functional forms of covariate effects as well as pos...

Diabetes Disease Diagnosis Using Multivariate Adaptive Regression Splines

Diabetes mellitus is a chronic disease, also associated with an increased risk for heart disease and is emerging as a serious health challenge in India. It requires continuing medical care and patient self-management education to prevent severe problems and to reduce the risk of long-term problems. Healthcare industry stores a large amount of data which is not properly used to discover the hidd...