33 citations · 64 across the 10 of their papers we have counts for
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cs.LG2012★ 9 cited
Bayesian Multicategory Support Vector Machines
Zhihua Zhang, Michael I. Jordan
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 interpreta…
stat.ML2012★ 1 cited
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang, Shusen Wang, Dehua Liu +1
In this paper we propose a novel framework for the construction of sparsity-inducing priors. In particular, we define such priors as a mixture of exponential power distributions wi…
stat.ML2012
Coherence Functions with Applications in Large-Margin Classification Methods
Zhihua Zhang, Guang Dai, Michael I. Jordan
Support vector machines (SVMs) naturally embody sparseness due to their use of hinge loss functions. However, SVMs can not directly estimate conditional class probabilities. In thi…