In this paper, we examine a multi-period capacity expansion problem for a local access telecommunications network with a tree topology. Capacity expansion is realized through the ...
Michel Gendreau, Jean-Yves Potvin, Ali Smires, Pat...
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
It has been important to extend database management systems to support new requirements of applications and administration. We focus in this paper on the automatic tuning feature,...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
The number of software systems is increasing at a rapid rate. For example, SourceForge currently has about sixty thousand software systems registered, twenty-two thousand of which...
Shinji Kawaguchi, Pankaj K. Garg, Makoto Matsushit...