High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
With the increased use of network enabled applications and server hosted software systems, scalability with respect to network connectivity is becoming an increasingly important s...
High-interaction honeypots are interesting as they help understand how attacks unfold on a compromised machine. However, observations are generally limited to the operations perfo...
Eric Alata, Ion Alberdi, Vincent Nicomette, Philip...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
This paper provides a probabilistic derivation of an identity connecting the square loss of ridge regression in on-line mode with the loss of a retrospectively best regressor. Some...