Examples of using The two techniques in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
This is because the two techniques.
The two techniques are largely complementary.
Comparison of the two techniques.
The two techniques I use to improve my work process are labeling and daily retros.
DSSS and FHSS are the two techniques most in use today.
In practice some systems combine the two techniques.
We have put together a short comparison of the two techniques.
A major difference between the two techniques is the speed of“cooling”.
The two techniques are used primarily in determining carbon 14 content of archaeological artifacts and geological samples.
But this is the first time the two techniques have been combined.
The-neighbors classification in KNeighborsClassifier is the more commonly used of the two techniques.
You do not necessarily have to remember the two techniques that I have just mentioned.
Crucially, the two techniques of AR and VR complement each other very well:“VR is good for engineering, training and sales.
Now that you have understood an overview of Machine Learning and Deep Learning,we will take a few important points and compare the two techniques.
After this, the treatments for the two techniques are different, but both involve high vacuum operations.
Now that you have gotten an overview of machine learning and deep learning,we will learn a few important points and compare the two techniques.
To understand the issues surrounding the two techniques, think of machine health as analogous to our own health.
Tuhina Banerjee,Santimukul Santra and colleagues wanted to see if they could combine the two techniques to make a better detector.
We can combine the two techniques, and play back sound through headphones, even though it was recorded with a microphone array.
Researchers then compared the measurements recorded using the two techniques for each person doing each activity on two occasions.
The two techniques present different types of information about the human body: PET shows metabolic or chemical activity in the body;
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory(CSAIL)have recently developed a system that aims to bridge the two techniques.
A randomized trial compared the two techniques of amnioinfusion and concluded that both have a similar ability to relieve recurrent variable deceleration(11).
Because TIRFM and laser scanning confocal microscopy(LSCM)have certain common capabilities, the two techniques are naturally compared when evaluating possible approaches to research problems.
In some systems the two techniques are combined, with transform codecs being used to compress the error signals generated by the predictive stage.
The two techniques present different types of information about the human body: while PET shows chemical activity, CT shows anatomical structures.