In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
— Requirements changes during software development pose a risk to cost, schedule and quality while at the same time providing an opportunity to add value. Provision of a generic ...
The possible variability of project delay is useful information to understand and mitigate the project delay risk. However, it is not sufficiently considered in the literature con...
Makoto Nonaka, Liming Zhu, Muhammad Ali Babar, Mar...