Übersetzung für "Learning pattern" in Deutsch

A to-be-recognized pattern is exposed to the same preprocessing steps as the learning pattern.

Cos I read this really neat article that said kids learn math better if you stimulate their visual learning pattern.

His favourite activities include staring at his south wall at home, learning the pattern of his woodchip wallpaper by heart, reading his favourite magazine The Desert and You, and enlarging his collection of the most boring railway tracks on video.

At the MCML, 15 teams from the fields of data science, computer science and statistics from LMU and TUM have come together to further advance the methods of machine learning and pattern recognition.

These projects involved using neural networks, which are “computational models inspired by animal central nervous systems that are capable of machine learning and pattern recognition” according to Wikipedia.

However, it is also conceivable for the settable or fixedly available pattern of the rotation laser to be transmitted to the laser receiver via cable or in a wireless manner, said laser receiver learning said pattern as a reference pattern before the apparatuses are used.

Each adaptation of the model to a new frame includes a complete training of the SOM, i.e. the model learns the structure of the 3D aggregate of points by means of the pattern-by-pattern learning rule where the learning rule is iteratively applied training data point by training data point each time.

Although, in prior art better solutions for speech recognitions than for speaker recognitions are known, a mere speaker recognition quickly reaches its limits due to restricted calculating capacity, as a learning pattern has to be compared with each class (example: bank customers).

Sensor technology for "feeling" prostheses and motion analysis and for automated activity measurements and logging for physiotherapy, and rehabilitation measures by combination of signal acquisition of movements and machine learning, pattern recognition and mobile applications.

The focus of ISAC is on methods for measurement and automation, data analysis, system identification, steering, control, and optimization, as well as machine learning and pattern recognition.

The Department of Cybernetics (the participatting research unit) at the Faculty of Electrical Engineering of the CVUT is aimed at high-quality research in artificial intelligence, machine perception, robotics, and biomedical engineering with the focus to multi-agent systems, machine learning, data mining, pattern recognition, knowledge-based systems, medical data processing and collaborative robotics.

The Dutch artist Constant Dullaart works with artificial neural networks, enabling machine learning and pattern recognition through artificial intelligence.

Research studies on artificial intelligence focus on data mining, machinery learning, pattern recognition, biomedical image processing, artificial neural networks, and cognitive science.

The specialization in Data Science aims at providing an understanding of fundamental technologies such as, machine learning, pattern recognition, data mining, data visualization and big data management, both from a computer science and statistics perspective, and accompanies them by the necessary background in database and software technologies.

What it doesn't help them do is to learn word patterns.

You will learn about efficient patterns and how they can be adapted to specific problems.

The AI learned to recognize patterns with the help of thousands of sample images.

The intelligent software integrated intoIntelOptane memory automatically learns typical patterns of computer use.

Would you pay $1500.00 to learn this pattern?

In contemporary forms of cultivation, the learned patterns of cultural history live on.

They have learned about pattern recognition and statistical learning.

Flow: The Flow feature learns the pattern of the listener and understands the preference.

Unsupervised learning finds hidden patterns or intrinsic structures in data.

Anybody can learn a pattern.

It then aggregates those data and learns from the patterns it recognizes.

The practitioner learns "footwork patterns" on it in all 4 directions.

Motoric deficits such as coordination disturbances can only be improved by practising and learning physiological movement patterns.

According to the principle of monitored learning, various input patterns are subsequently prescribed and the associated output value is calculated.

In the learning phase, input patterns are presented to the neural network and the associated defined output values are predefined.

Using machine learning, structures, patterns and laws can be identified in Big Data.