Examples of using Classifiers in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
Compared with other classifiers, the energy consumption is reduced by 50%.
Analogously, new metadata browsingstructures can be implemented by writing"classifiers.".
A demo for two bag-of-words classifiers by I. Fei-Fei, R. Fergus, and A. Torralba.
The classifiers do not use any model to fit and only based on memory.
Inevitably, if you are modeling a large system or a large area of a business,there will be many different classifiers in your model.
An online system uses classifiers to predict the socioeconomic group of users of the online system.
When Google rolled out the first Penguin update in April of 2012,they also rolled out some on-page classifiers which penalized some pages that had excessive word repetition.
In addition to addressing the classifiers for the implementation of these projects, and the award of tenders on them.
An effect akin to‘domain authority' is still visible in 2018 but this new phenomenon is probably based on site quality scores, potential authorship value scores,user interest and other classifiers, as well as Pagerank.
On a landscape-mode display, accuracy of the classifiers was much lower, with a first-guess success rate of only 40.8 percent.
This led to classifiers that were overfitted to the training data so I wanted to generalise them by introducing parts of speech of the words in sentences which are more generic.
Simple approaches use the average values of the rated item vector while other sophisticated methods usemachine learning techniques such as Bayesian Classifiers, cluster analysis, decision trees, and artificial neural networks in order to estimate the probability that the user is going to like the item.
Using their bare hands, programmers would write classifiers such as edge detection filters to enable the program to identify the starting and ending point of an object.
The cost effective solution is to train classifiers specific to each part on the cloud, and ship the trained models to the edge devices.
In machine learning, there can be binary classifiers with only two outcomes(e.g., spam, non-spam) or multi-class classifiers(e.g., types of books, animal species, etc.).
They have developed aframework based on machine learning linear classifiers- a kind of artificial intelligence- that detects rotational movements in clouds from satellite images that might have otherwise gone unnoticed.
They have developed aframework based on machine learning linear classifiers- a kind of artificial intelligence- that detects rotational movements in clouds from satellite images that might have otherwise gone unnoticed.
The local feature approach of using BoWmodel representation learnt by machine learning classifiers with different kernels(e.g., EMD-kernel and X 2{\displaystyle X^{2}} kernel) has been vastly tested in the area of texture and object recognition.[11] Very promising results on a number of datasets have been reported.
Because have classifier for ships taste.
Which can be used to define the classifier.
Hence they are also known as the maximum margin classifier.
To select more than one classifier.
Seems like steal came classifier for vehicles bicycle.
Steal come bicycle have several hundred classifier for vehicles.
(Exp, ABC 1234), classifier will perform classification 7 times.
In the presence of wind machines, material by feeding in the classifier.
There is rules to correct the result in case classifier is not performing well.
What if have 1000 more classifier for small spheres, pearls, corn grains, teeth, hearts, satellites etc to drill?
This is our classifier for gifts, newspaper, magazine, papers, reports, contracts etc within matter.