Examples of using High-dimensional in English and their translations into German
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Numerical linear algebra for high-dimensional problems and efficient algorithms in data science.
Although it may sound easy, in high-dimensional data it can be very difficult.
IBM SPSS Categories gives you all the tools for analysing complex categorical and high-dimensional data.
Of special interest are the areas of high-dimensional statistics, computational methods for large-scale modeling,
They are structured on discrete lattices, often stochastic, high-dimensional and abstract, and they provide huge amounts of data.
machine learning procedures to deal with a high-dimensional inverse problem in optics.
Parallel coordinate plots: parallel coordinates are used to visualise high-dimensional data three or more variables are displayed simultaneously.
coupled multiphysics problems, high-dimensional problems such as data mining,
In this work, novel efficient query processing techniques are presented which are applicable to high-dimensional complex data represented by signatures.
Your key advantages when using the ClearVu Global Optimizer applicable in case of high-dimensional problems broad applicability to simulation based objective functions and MDO.
The utilization of distance-based similarity measures on high-dimensional databases leads to effective search results,
we have developed a new optimization algorithm for high-dimensional, nonlinear, constrained applications.
Particularly, as with the high-dimensional SNP data that are available today, a causative variant
If modeling techniques are applied to high-dimensional multivariate problems, most methods fail
High-Dimensional Data Analysis" to have a deeper understanding of emerging computational tools and"New Mathematical Tools for Contemporary Statistics" to develop new
Quasi-Monte Carlo methods rely on- sometimes high-dimensional- point sets
balls- with applications to seismic tomography and high-dimensional geophysical modelling",
For small, ubiquitous devices, the resource constraints are directly apparent, but they hold as well for large computing facilities in the case of extremely large, high-dimensional, dynamic data.
computational tools to infer structure and models from high-dimensional time series data,
high-performance processes which utilise the structural properties of the complex, high-dimensional data on which they are based.