Inconsistency-based active learning for support vector machines
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In this paper, we further develop a new model, called inconsistency-based active learning (I-AL). It employs the learning philosophy of QBC, and follows the GS ...
Request PDF | Active learning based on support vector machines | Active learning is mainly to select a part of unlabelled samples from a big dataset.
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Oct 13, 2023 · Weakly Supervised Object Detection Based on Active Learning. Abstract · Inconsistency-based active learning for support vector machines.
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In this paper, we describe the application of active learn- ing to a support vector machine (SVM) document classi- fier. Although one can define an “optimal” ( ...
Support vector machine (SVM) classifiers are particularly well-suited for active learning due to their convenient mathemat- ical properties. They perform linear ...
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Active learning with support vector machines | Request PDF
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Inspired by active learning methods for binary classification based on Support Vector Machines (SVMs) [22] , we define an iterative solution paradigm ...
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We explore how active learning with Sup- port Vector Machines works well for a non-trivial task in natural language pro- cessing.
• LCI– the active learning method based on the label car- dinality inconsistency strategy in Section 4.2. • Adaptive– the adaptive active learning approach we ...
Abstract—Traditional supervised machine learning techniques require training on large volumes of data to acquire efficiency and accuracy.