Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Internet routing dynamics have been extensively studied in the past few years. However, dynamics such as interdomain Border Gateway Protocol (BGP) behavior are still poorly unders...
Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah,...
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...