On the Learnability and Design of Output Codes for Multiclass Problems (2000)

Cached

Download Links

by Koby Crammer , Yoram Singer
Venue:In Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
Citations:161 - 5 self

Active Bibliography

110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
5 A framework for kernel-based multi-category classification – Simon I. Hill, Arnaud Doucet - 2005
11 Pairwise Classification as an Ensemble Technique – Johannes Fürnkranz - 2002
419 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers – Erin L. Allwein, Robert E. Schapire, Yoram Singer, Pack Kaelbling - 2000
515 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
3 Evolving output codes for multiclass problems – Nicolás García-pedrajas, Colin Fyfe - 2008
7 Round Robin Ensembles – Johannes Fürnkranz - 2002
23 Confidence-based Dynamic Ensemble for Image Annotation and Semantics Discovery – Beitao Li, Kingshy Goh, Edward Y. Chang - 2003
721 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
8 Improved output coding for classification using continuous relaxation – Koby Crammer, Yoram Singer - 2001
88 Everything Old Is New Again: A Fresh Look at Historical Approaches – Ryan Michael Rifkin - 2002
249 Ultraconservative Online Algorithms for Multiclass Problems – Koby Crammer, Yoram Singer - 2001
3 An Experimental Analysis of the Dependence among Codeword Bit Errors in ECOC Learning Machines – Francesco Masulli, Giorgio Valentini - 2003
6 Combined Binary Classifiers With Applications To Speech Recognition – Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky - 2002
Survey on Multiclass Classification Methods – Mohamed Aly - 2005
INTERACTIVE LEARNING PROTOCOLS FOR NATURAL LANGUAGE APPLICATIONS – Kevin Small - 2009
4 Active learning with Support Vector Machines – Andreas Vlachos - 2004
3 Efficient Multiclass Boosting Classification with Active Learning – Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles
7 VC Theory of Large Margin Multi-Category Classifiers – Yann Guermeur, Isabelle Guyon, Amir Saffari