Examples of using Learning algorithms in English and their translations into German
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Benchmarking and tuning of machine learning algorithms.
Learning algorithms evaluate mass data extremely effectively.
Continuous training of machine learning algorithms.
Learning algorithms are also widely used for self- customizing programs.
Save time by allowing deep learning algorithms to do the hard work.
All learning algorithms within GN Dashboard share the same UI. Â.
Although AdaBoost is more resistant to overfitting than many machine learning algorithms, it is often sensitive to noisy data and outliers.
Deep Learning algorithms enable a fast and efficient classification of recorded pictures.
For these cases, you now have a way to actively let our machine learning algorithms know that you have different goals for your campaign in mind.
Learning algorithms can proactively identify delivery disruptions which can thus be resolved through targeted event management.
Efficient implementations of learning algorithms, Applications for learning algorithms.
Learning algorithms need thousands of learning examples to solve tasks, whereas humans are able to solve comparable exercises with a few examples only.
She is especially interested in Deep learning algorithms for Visual Computing and Reinforcement learning. .
Learning algorithms are already capable of identifying people, faces, emotions, animals, scenes, landscapes, landmarks, utilities, trademark logos, handwriting and other things.
In order to do that, BOLeRo provides learning algorithms(behavior search), behaviors, test environments and optimizers.
Most past literature has taken a computational approach to deal with the semantic gap,addressing different aspects of the machine, such as the learning algorithms being used.
Acquia Lift uses machine learning algorithms to automate the delivery of personalized content.
For this purpose, cortical information is combined with linguistic knowledge and machine learning algorithms to extract the most likely word sequence.
 or other automatic learning algorithms- from analog to numeric, and then back to analog- leaves its traces.
Pioneering and patented technologies like Process Inspector and machine learning algorithms have been constantly developed, trained and used since 2008.
Sophisticated learning algorithms understand the inner workings of your applications and anticipate what data they might need.
The SANDY" Household Power LoadForecast" is based on state-of-the-art Machine Learning Algorithms, is thereby self-learning and continuously adapts itself to changed consumption behavior.
Use Machine learning Algorithms to make this simulated model a real-time routing model, by solving some functional issues of simulated MWSN.
There have been several breakthroughs in quantum computing in recent years and learning algorithms can certainly benefit from the incredible amount of compute available that quantum computers provide.
New machine learning algorithms we have developed also enable us to remove compression artifacts from images and videos, and to algorithmically increase the frame resolution in both cases.
We collect information and use machine learning algorithms to determine the best logo which is unique and can be the main part of your brand.
Machine Learning algorithms model the shoppers behavior and automatically improve recommendations so that Shoppers always get only the most relevant recommendations.
She gave a brief introduction to the various machine learning algorithms and then demonstrated which deep learning operators are already available in ERDAS IMAGINE 2018.
By providing the learning algorithms GN Dashboard uses a data of the research or experimental measures to learn about the problem.
Neokami uses advanced machine learning algorithms to generate significant added value and insights for companies that correlates an organization's internal and external data.