An accurate prediction of pipes failure rate plays a substantial role in the management Water Distribution Networks (WDNs). In this study, field study was conducted to register break and relevant causes WDN Yazd City, Iran. way, 851 water were incepted localized by Global Positioning System (GPS) apparatus. Then, 1033 cases reported eight zones understudy during March-December 2014. Pipes (BRP)...

A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the surviva...

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 ...

The model of adaptive hinging hyperplanes (AHH) is proposed in this paper for black-box modeling. It is based on Multivariate Adaptive Regression Splines (MARS) and Generalized Hinging Hyperplanes (GHH) and shares attractive properties of the two. By making a modification to the basis function of MARS, AHH shows linear property in each subarea. It is proved that AHH model is identical to a spec...

The purpose of the study is to analyze affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), one data mining methods. Modeling, regression-based methods, quite popular for social sciences due various advantages it offers; however, requires very intensive assumptions. ...

The application of “Multivariate Adaptive Regression Splines”(MARS) to the problem of modeling duration of a set of segments used in a text-to-speech system for German is presented. MARS is a technique to estimate general functions of high-dimensional arguments given sparse data. It automatically selects the parameters and the structure of the model based on data available. The result is a mode...

This paper seeks to predict efficiency ratings for Magic: The Gathering cards in the Draft format. This paper first uses reliable data gathered from the Magic community as the true efficiency ratings. Then, this paper discusses which of the available features are used and the reasoning behind using or not using a feature. This paper then examines a variety of regression algorithms to determine ...

This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We apply the classification methods to the land cover classification of a test zone located in southwestern Spain. The basis of the MARS method and its...