Sentence examples for base learner from inspiring English sources

We propose an ensemble approach using a discriminative learning algorithm, where each base learner is a discriminative multi-kernel-learning classifier, trained to learn an optimal combination of joint-based features.

On one hand, a set of diverse base learners of C2 constituting the ensemble are constructed via a Bootstrap sampling process; on the other hand, C2 further improves each base learner by unifying error detection, correction and data cleansing to reduce noise impact.

Co-training first learns a separate classifier for each base learner using labeled examples.

Although the base learner has a low grade, ensemble has an opposite one.

It follows this order until the last base learner is trained by the first training set.

For the Bagging and AdaBoost classifiers we need to specify a base learner.

In Co-MIML, the base learner is the MIMLFast, and there are two base learners involved.

This method can work for both classification and regression, depending on the base learner.

The proposed method by Nam [77] uses logistic regression as the base learner.

All classifiers will be implemented using the ensemble[26] with Fisher linear discriminant as the base learner.

An important extension to the base learner model for adaptive systems, therefore, is to provide adaptive scaffolding for improving learning strategies, including enhancing knowledge acquisition and recall.