Boosting parallel perceptrons for label noise reduction in classification problems
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| Title: | Boosting parallel perceptrons for label noise reduction in classification problems |
|---|---|
| Thesis Advisors: | UAM. Departamento de Ingeniería Informática, Aprendizaje Automático (ING EPS-001) |
| Source: | Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part II. Lecture Notes in Computer Science, Volumen 3562. 586-593. 978-3-540-26319-7 (print) 978-3-540-31673-2 (online) 0302-9743 (print) 1611-3349 (online) 586 593 3562 |
| Publisher Information: | Springer Berlin Heidelberg. |
| Subject Terms: | Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Image Processing and Computer Vision, Pattern Recognition, Evolutionary Biology, Informática |
| ISBN: | 978-3-540-26319-7 978-3-540-31673-2 3-540-26319-5 3-540-31673-6 |
| DOI: | 10.1007/11499305_60 |
| Access URL: | http://hdl.handle.net/10486/664658 |
| Accession Number: | edstdx.10486.664658 |
| Database: | TDX |
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