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We therefore built a robust classifier using DNA methylation profiles that could successfully classify pediatric brain tumors into clinically relevant subgroups.
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The second layer of phishGILLNET (phishGILLNET2) employs AdaBoost to build a robust classifier.
phishGILLNET3 builds a robust classifier using only a fraction of labeled samples and applying Co-Training to label additional samples.
This layer employs AdaBoost and Co-Training algorithm to build a robust classifier using large corpus of unlabeled data.
The second layer of phishGILLNET (phishGILLNET2) employs classifier ensemble technique AdaBoost and topic probabilities as features to build a robust classifier using several base learners.
Instead of using Fisher similarity function for categorization using topic distribution probabilities, AdaBoost is employed to build a robust classifier using PLSA topic distribution probabilities as feature.
phishGILLNET3 employs Co-Training to build classifiers on two views of the data, namely text view and hyperlink view, starting with small labeled sample and pool of unlabeled samples, and iteratively build a robust classifier for phishing detection.
phishGILLNET2 employs AdaBoost using several learning algorithms such as C4.5 decision trees [57], rule-based classifier RIPPER [58], random forest [59], support vector machines [60], and logistic regression [61] to build a robust classifier.
To build a robust classifier, an important next step in our PUDI algorithm is to further extract the likely positive examples LP and the likely negative examples LN from genes in the U-RN which are near the positive and negative classification boundary.
Have built a robust network.
They have built a robust narrative capacity and talent.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com