Speedy local search for semi-supervised regularized least-squares
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In real-world machine learning scenarios, labeled data is often rare while unlabeled data can be obtained easily. Semi-supervised approaches aim at improving the prediction performance by taking both the labeled as well as the unlabeled part of the data into account. In particular, semi-supervised support vector machines favor decision hyperplanes which lie in a "low-density area" induced by the unlabeled patterns (while still considering the labeled part of the data). The associated optimization problem, however, is of combinatorial nature and, hence, difficult to solve. In this work, we present an efficient implementation of a simple local search strategy that is based on matrix updates of the intermediate candidate solutions. Our experiments on both artificial and real-world data sets indicate that the approach can successfully incorporate unlabeled data in an efficient manner.
Original language | English |
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Title of host publication | KI 2011: Advances in Artificial Intelligence : - 34th Annual German Conference on AI, Proceedings |
Editors | Joscha Bach, Stefan Edelkamp |
Number of pages | 12 |
Publication date | 2011 |
Pages | 87-98 |
ISBN (Print) | 978-3-642-24454-4 |
ISBN (Electronic) | 978-3-642-24455-1 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | 34th Annual German Conference on Artificial Intelligence, KI 2011, in Co-location with the 41st Annual Meeting of the Gesellschaft fur Informatik, INFORMATIK 2011 and the 9th German Conference on Multi-Agent System Technologies, MATES 2011 - Berlin, Germany Duration: 4 Oct 2011 → 7 Oct 2011 |
Conference
Conference | 34th Annual German Conference on Artificial Intelligence, KI 2011, in Co-location with the 41st Annual Meeting of the Gesellschaft fur Informatik, INFORMATIK 2011 and the 9th German Conference on Multi-Agent System Technologies, MATES 2011 |
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Land | Germany |
By | Berlin |
Periode | 04/10/2011 → 07/10/2011 |
Series | Lecture notes in computer science |
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Volume | 7006 |
ISSN | 0302-9743 |
ID: 167918351