Übersetzung für "Machine learning methods" in Deutsch

In particular, machine learning methods may also be applied here.

For the inspection task multimodal sensor data are classified by machine learning methods.

And machine learning and AI methods are also being applied to engineering design.

Thanks to artificial intelligence (AI), the computer can apply machine learning methods.

Its research focuses on development and application of machine learning and statistical methods.

Furthermore, in particular corresponding machine/adaptive learning methods come into consideration for the analysis.

Typically, artificial neural networks deliver better results in challenging applications than competing machine learning methods.

Major research focuses include machine learning methods for language technology, web-based question-answer systems and textual inference.

Core technologies for this purpose are virtualization, software-based networks and even failure detection through machine learning methods.

Tailor-made for your individual tasks: we develop your algorithms based on statistics, optimization and machine-learning methods.

This task is best performed by training algorithms using deep machine learning methods.

Texts and images without relevant information content are filtered out with the aid of machine-learning methods.

So yes, machine learning fraud prevention methods have the potential to be extremely intelligent.

He has resolved long-standing open problems about the computational complexity of the Nash equilibrium, the mathematical structure and computational complexity of multi-item auctions, and the behavior of machine-learning methods such as the expectation–maximization algorithm.

However, the different data environment in digital experiments does create new statistical opportunities (e.g., using machine learning methods to estimate heterogeneity of treatment effects (Imai and Ratkovic 2013)) and new computational challenges (e.g., blocking in massive experiments (Higgins, Sävje, and Sekhon 2016)).

While the project group at the faculty in Hagenberg tried to find a solution by relying on bioinformatics as well as on descriptive statistical and machine learning methods, the researchers in Linz used fluorescence microscopy in order to analyze the different levels of expression of receptors.

Tools for the simulation are used to support the development and operation of robotic systems or certain procedures such as the use of machine learning methods as it takes place in the team "Sustainable Learning and Interaction ".

The current situation in practice is that department-specific simulation data is often organized in the form of file trees in the respective file system within a department, which makes it difficult to access for an evaluation based on machine learning methods.

A new combination of weather models and machine learning methods improved the forecasting quality of wind power forecasts for different aggregation levels (wind farms, geographical areas, Germany).

At the same time, artificial intelligence and machine learning methods turn the BionicWorkplace into a learning and anticipative system that continuously optimises itself.

Due to the constant increase in data volumes and data complexity, Data Science has created a new, interdisciplinary field of work that covers a wide range of aspects of data analysis, such as handling large amounts of data, statistical modelling, visualisation, pattern recognition with machine learning methods, but also ethical and legal questions.

Machine learning methods generally do not work immediately, they have to be improved using optimization methods like the gradient method.

In addition to a person's position, their pose (standing, sitting, lying) is recognized by machine learning methods.

Nevertheless, the field of virtual vehicle development has not yet seen any effective attempts to use machine learning methods in order to facilitate automatic learning that extracts both knowledge that is built upon other historical knowledge and knowledge that applies to more than one model series so as to assist with future development projects and organizing them more efficiently.