Sentence examples for build a robust classifier from inspiring English sources

The second layer of phishGILLNET (phishGILLNET2) employs AdaBoost to build a robust classifier.

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.

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.

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.

We therefore built a robust classifier using DNA methylation profiles that could successfully classify pediatric brain tumors into clinically relevant subgroups.

phishGILLNET3 builds a robust classifier using only a fraction of labeled samples and applying Co-Training to label additional samples.

The main objective of this study was to build a robust gene expression classifier for MSI reflecting MMR deficiency in colorectal cancer.

Columbia Video Tool (covit): Build a robust video network tool.

Ultimately, we want to construct a robust classifier that yields accurate and consistent classification results on independent gene expression datasets.