Cross-Domain Multitask Learning with Latent Probit ModelsSupplementary Material
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چکیده
We conducted symmetric multitask learning experiments on the landmine datasets (Xue et al., 2007). There are total of 19 tasks in the homogeneous space. We examine the performance of three methods on accuracy of label prediction: (i) cross-domain multitask learning using latent probit models, (ii) single task learning plus separate probit classifiers, (iii) simply pooling the data in all tasks and then learning a single probit classifier.
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تاریخ انتشار 2013