The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...

background: urmia lake, the second largest hyper-saline lake of the world, has experienced lack of water and other environmental issues in recent years. now, there is a danger of the lake drying out, which will affect the region and its inhabitants. this study aimed to present a model which can relate the water level of the lake to effective factors. methods: parameters that influence water lev...

An (N +N) evolutionary algorithm is considered for the problem of finding the maximum cardinality matching in a graph. It is shown that the performance of the evolutionary algorithm is the same as classical simulated annealing. That is, the evolutionary algorithm cannot find the maximum matching in polynomial average time for a family of bipartite graphs considered in this paper although there ...

Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regression and model trees), we investigate the predictive performance of regression models based on polynomial equations. We present Ciper, an efficient method for inducing polynomial equations and empirically evaluate its...