In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
A successful IT Company is characterized by its ability to put the right information in front of the right decision-makers at the right time while concerns about security issues. ...
One purpose of the MBone is to study the performance of multicast and real-time protocols in global conferencing applications. Part of this evaluation is dependent on understandin...
—Resource provisioning for N-tier web applications in Clouds is non-trivial due to at least two reasons. First, there is an inherent optimization conflict between cost of resour...
PengCheng Xiong, Zhikui Wang, Simon Malkowski, Qin...
This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modell...