英語 での Classifiers の使用例とその 日本語 への翻訳
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If you delete something by mistake, you can always restore this data: tasks, projects, milestones, classifiers or accounts.
NB classifiers tokenize mail content into words and phrases(or other linguistic units) and register the probability of the appearance of various words and phrases in spam and legitimate messages.
Most boosting algorithms are made up of repetitive learning weak classifiers, which then add to a final strong classifier. .
While these new script-based machine learning models augment our expert classifiers, we also correlate new results with other behavioral information.
For operations where the plants prefer to screen down the aggregate size, classifiers can also be added at the front of the pump eliminating oversized rocks.
IBM Watson Visual Recognition- Whether it is faces, objects, colors, or food, this API lets you identify many different types of classifiers.
In recent years, as deep-learning systems have grown more and more pervasive in our lives, researchers have demonstrated how adversarial examples can affect everything from simple image classifiers to cancer diagnosis systems, leading to consequences that range from the benign to the life-threatening.
For example, current packet classifiers for IPv4, which are not secure but which seem to work for classifying the packets into service classes, use a number of the packet fields together as a form of LLID: the source and destination IP addresses and ports plus the protocol type.
Microsoft Custom Vision service makes it possible for developers to easily train a classifier with their own data, export the models and embed these custom classifiers directly in their applications, and run it offline in real time on iOS, Android and many other edge devices.
ERP Configuration relying on Artificial Intelligence In 2013, Nexedi created the the ERP5 Artificial intelligence Toolkit(EAT)- a prototype consisting of a set of ERP5 modules which allow to manage and evaluate configuration questions, design decision trees and collect answer data as input for learning classifiers.
to construct classifiers efficiently by"transferring" from one to another, with respect to samples of a number of domains having differing distributions target and prior domains.
The choice of validation metrics depends on type of the model classifier.
Classifier_csv. py Handling CSV file and numeric features.
Classifier_digits. py Handling toy dataset(digits)✓.
Compliance classifier type of tax.
Classifier, pulp and paper industry, bleaching equipment, storage processing system.
Classifier_shogun. py Handling CSV file and string features.
Classifier of fixed assets in practice.
Sieve, classifier(screen).
Easy maintenance-gravity sand classifier.