This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
The business world has been reinventing the human. Employee participative transition projects for management strategies are becoming more important in IT organizations day by day....
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
Setuid programs are often exploited by malicious attackers to obtain unauthorized access to local systems. Setuid programs, especially owned by the root user, are granted root pri...