In theory, active learning is possible with any classifier that is capable of passive learning. This review focuses on the support vector machine (SVM) ...

We present a new algorithm that performs pool-based active learning with support vector machines (SVMs). We provide theoretical motivations for our approach ...

Active learning based on support vector machines ... Abstract: Active learning is mainly to select a part of unlabelled samples from a big dataset. The selected ...

SVMActive combines active learning with support vector machines (SVMs). SVMs [64, 6] have met with significant success in numerous real-world learning tasks.

propose a scheme of active learning based on support vector machines, which follows the traditionally inductive learning model of general-specific. In terms ...

In this paper, we propose an active learning strategy for SVMs based on Maximum Model Change (MMC). The model change is defined as the difference between the ...

Aug 24, 2014 · In machine learning, active learning refers to algorithms that autonomously select the data points from which they will learn.

Aug 19, 2021 · A labelling strategy based on active learning and semi-supervised learning for multi-class classification problems.

SVMActive combines active learning with support vector machines SVMs . SVMs 35, 1 have met with signi cant success in numerous real-world learning tasks. Like ...

Abstract—This paper investigates and evaluates support vector machine active learning algorithms for use with imbalanced datasets, which commonly arise in ...