UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Optimizing classifiers for imbalanced training sets

Karakoulas, G; Shawe-Taylor, J; (1999) Optimizing classifiers for imbalanced training sets. In: Kearns, MS and Solla, SA and Cohn, DA, (eds.) UNSPECIFIED (pp. 253-259). M I T PRESS

Full text not available from this repository.
Type: Book chapter
Title: Optimizing classifiers for imbalanced training sets
ISBN: 0-262-11245-0
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Computational Learning Theory, Generalization, fat-shattering, large margin, pac estimates, unequal loss, imbalanced datasets
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/79288
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item