Sentence examples for building a robust classifier from inspiring English sources
These challenges include, as in any pattern recognition problem, data acquisition and annotation, feature extraction and finding the most salient features, and building a robust classifier.
Two of the key characteristics for building a robust classifier ensemble include (a) the diversity among the classifier models in the ensemble [ 84] and (b) the reasonably high accuracy of the individual members in the ensemble.
Building a robust classifier when learning from a highly unbalanced dataset is very difficult; minimizing the classification error typically causes the larger class to overwhelm the smaller one.
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.
phishGILLNET3 builds a robust classifier using only a fraction of labeled samples and applying Co-Training to label additional samples.
But building a robust site based on original content is costly.
The first step in building a robust prioritization system is to plan your day well.
FS is a machine learning-based technique used to select the most important features for building a robust learning model.
Success in building a robust prediction score could greatly facilitate individualized risk estimation, screening, and diagnosis of CVD.
