Ensemble of SVMs for Incremental Learning
Identifieur interne : 001303 ( Main/Exploration ); précédent : 001302; suivant : 001304Ensemble of SVMs for Incremental Learning
Auteurs : Zeki Erdem [Turquie] ; Robi Polikar [États-Unis] ; Fikret Gurgen [Turquie] ; Nejat Yumusak [Turquie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of previously learned information. Learn + + have recently been introduced as an incremental learning algorithm. The strength of Learn + + lies in its ability to learn new data without forgetting previously acquired knowledge and without requiring access to any of the previously seen data, even when the new data introduce new classes. To address thecatastrophic forgetting problem and to add the incremental learning capability to SVMs, we propose using an ensemble of SVMs trained with Learn + + . Simulation results on real-world and benchmark datasets suggest that the proposed approach is promising.
Url:
DOI: 10.1007/11494683_25
Affiliations:
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However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of previously learned information. Learn + + have recently been introduced as an incremental learning algorithm. The strength of Learn + + lies in its ability to learn new data without forgetting previously acquired knowledge and without requiring access to any of the previously seen data, even when the new data introduce new classes. To address thecatastrophic forgetting problem and to add the incremental learning capability to SVMs, we propose using an ensemble of SVMs trained with Learn + + . Simulation results on real-world and benchmark datasets suggest that the proposed approach is promising.</div></front></TEI><affiliations><list><country><li>Turquie</li><li>États-Unis</li></country><region><li>New Jersey</li></region></list><tree><country name="Turquie"><noRegion><name sortKey="Erdem, Zeki" sort="Erdem, Zeki" uniqKey="Erdem Z" first="Zeki" last="Erdem">Zeki Erdem</name></noRegion><name sortKey="Erdem, Zeki" sort="Erdem, Zeki" uniqKey="Erdem Z" first="Zeki" last="Erdem">Zeki Erdem</name><name sortKey="Erdem, Zeki" sort="Erdem, Zeki" uniqKey="Erdem Z" first="Zeki" last="Erdem">Zeki Erdem</name><name sortKey="Gurgen, Fikret" sort="Gurgen, Fikret" uniqKey="Gurgen F" first="Fikret" last="Gurgen">Fikret Gurgen</name><name sortKey="Gurgen, Fikret" sort="Gurgen, Fikret" uniqKey="Gurgen F" first="Fikret" last="Gurgen">Fikret Gurgen</name><name sortKey="Yumusak, Nejat" sort="Yumusak, Nejat" uniqKey="Yumusak N" first="Nejat" last="Yumusak">Nejat Yumusak</name><name sortKey="Yumusak, Nejat" sort="Yumusak, Nejat" uniqKey="Yumusak N" first="Nejat" last="Yumusak">Nejat Yumusak</name></country><country name="États-Unis"><region name="New Jersey"><name sortKey="Polikar, Robi" sort="Polikar, Robi" uniqKey="Polikar R" first="Robi" last="Polikar">Robi Polikar</name></region><name sortKey="Polikar, Robi" sort="Polikar, Robi" uniqKey="Polikar R" first="Robi" last="Polikar">Robi Polikar</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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