multidimensional modeling

  • 71Modular origami — A stellated icosahedron made from custom papers Modular origami, or unit origami, is a paperfolding technique which uses multiple sheets of paper to create a larger and more complex structure than would be possible using single piece origami… …

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  • 72Partial least squares regression — In statistics, the method of partial least squares regression (PLS regression) bears some relation to principal component analysis; instead of finding the hyperplanes of minimum variance, it finds a linear model describing some predicted… …

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  • 73Concept-oriented model — Example of a concept oriented model. The concept oriented model (COM) is a data model based on the following three principles: Duality principle postulates that any element consists of two parts, called identity and entity. Accordingly, data… …

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  • 74ImageJ — Screenshot of ImageJ Developer(s) Wayne Rasband (NIH) …

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  • 75Фоменко, Анатолий Тимофеевич — В Википедии есть статьи о других людях с такой фамилией, см. Фоменко. Анатолий Тимофеевич Фоменко Дата рождения: 13 марта 1945(1945 03 13) (67 лет) Место рождения: Сталино, УССР, СССР Страна …

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  • 76Econometrics — Economics …

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  • 77Chemisorption — is a sub class of adsorption, driven by a chemical reaction occurring at the exposed surface. A new chemical species is generated at the adsorbant surface (e.g. corrosion, metallic oxidation). The strong interaction between the adsorbate and the… …

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  • 78Network model — For computer network models, see network topology, packet generation model and channel model. The network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that… …

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  • 79List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …

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  • 80Metaheuristic — In computer science, metaheuristic designates a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Metaheuristics make few or no assumptions about the… …

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