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We participate in the linear SVM Track of the Pascal Large Scale Learning Challenge at ICML 2008. We consider the LIBLINEAR package, which can handle L1- and L2-loss linear SVMs. The L1-SVM solver implemented in LIBLINEAR employes a coordinate descent method to solve the dual problem. This method is ...

Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing training methods are designed by assuming that data can be stored in the computer memory. These methods cannot be easily a ...

This paper presents a novel unifying framework of anytime sparse Gaussian process regression (SGPR) models that can produce good predictive performance fast and improve their predictive performance over time. Our proposed unifying framework reverses the variational inference procedure to theoretical ...

The spanning laceability on the faulty bipartite hypercube-like networks