Examples of using Classifier in English and their translations into Norwegian
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Computer
In Chontal, for example, when the classifier-tek is used with names of plants it is understood that the objects being enumerated are whole trees.
Spiral classifier or spiral is one mining machine used for ore dressing production,
Spiral classifier or spiral is one mining machine used for ore dressing production,
since in general the larger the margin the lower the generalization error of the classifier.
To this end we propose a technique that consists of a combination of the nearest neighbor classifier and some well known tools of technical analysis,
Using state-of-the-art machine learning, you can train your classifier to recognize what matters to you- like categorizing images of your products
Spiral classifier or spiral sand washing machine is one mining machine used for ore dressing production,
To sort of the separation of excessive powder separation mechanism in sand dry production process is the main function of it, spiral classifier can be very convenient to meet the user's requirements by relying on the simple controlling on the machine.
If you want all subsequent classifier role shapes you drop on the diagram to have the same condition,
solve it by building the key training data-set guided by the results of a deep Convolutional Neural Networks(CNN) classifier, then assessing the best classification model under two approaches,
Py: Remove various classifiers and the download-url which aren't accepted by pypi(Christoph Reiter).
Classifiers(mobile) Komptech Hurrikan.
Then it uses the classifiers to predict financial performance.
There are 5 ANN classifiers in the project corresponding to.
Scripts and predefined classifiers.
building custom classifiers and using predefined policies,
unwanted images through machine learning-based classifiers, custom lists
apparently over-simplified assumptions, naive Bayes classifiers often work much better in many complex real-world situations than one might expect.
naive Bayes classifiers can be trained very efficiently in a supervised learning setting.
Recently, careful analysis of the Bayesian classification problem has shown that there are some theoretical reasons for the apparently unreasonable efficacy of naive Bayes classifiers.