Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Mobile Peer-to-Peer Networks (MOPNETs) have become popular applications due to their ease of communication and resource sharing patterns in unfixed network infrastructures. As priv...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Load balancing in packet-switched networks is a task of ever-growing importance. Network traffic properties, such as the Zipf-like flow length distribution and bursty transmissio...
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...