Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Bayesian Multicategory Support Vector Machines
Zhihua Zhang, Michael Jordan
Abstract:
We show that the multi-class support vector machine (MSVM) proposed by Lee et. al. (2004), can be viewed as a MAP estimation procedure under an appropriate probabilistic interpretation of the classifier. We also show that this interpretation can be extended to a hierarchical Bayesian architecture and to a fully-Bayesian inference procedure for multi-class classification based on data augmentation. We present empirical results that show that the advantages of the Bayesian formalism are obtained without a loss in classification accuracy.
Keywords:
Pages: 552-559
PS Link:
PDF Link: /papers/06/p552-zhang.pdf
BibTex:
@INPROCEEDINGS{Zhang06,
AUTHOR = "Zhihua Zhang and Michael Jordan",
TITLE = "Bayesian Multicategory Support Vector Machines",
BOOKTITLE = "Proceedings of the Twenty-Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-06)",
PUBLISHER = "AUAI Press",
ADDRESS = "Arlington, Virginia",
YEAR = "2006",
PAGES = "552--559"
}


hosted by DSL   •   site info   •   help