نتایج جستجو برای: pughconcept selection
تعداد نتایج: 317695 فیلتر نتایج به سال:
nowadays a growing number of implementing informationtechnology service management (itsm) frameworks proves the trends toimprove the it services and processes in organizations. in order toimplement an itsm projects successfully in an organization, it isessential to select a suitable itsm solution. evaluation and selection ofthe itsm software packages is complicated and time consuming decisionma...
the concept of business model has attracted increasing attention in recent years. specifically, growing number of internet providers on mobile phones are challenged by the selection of appropriate business model. considering the importance of a good business model in the firm’s success, this research investigates the business models selection process of internet providers on mobile phones in ir...
this study aimed to identify genes that show signatures of selection for mutations in iranian native cattle breeds. the data consisted of genotypes for ~777962 snp markers of 90 animals from eight iranian native cattle breeds distributing over the country. therefore, the aim was to identifying divergently selected regions of the genome. study of population differentiation across the genome usin...
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
We observe a random measure N and aim at estimating its intensity s. This statistical framework allows to deal simultaneously with the problems of estimating a density, the marginals of a multivariate distribution, the mean of a random vector with nonnegative components and the intensity of a Poisson process. Our estimation strategy is based on estimator selection. Given a family of estimators ...
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