We introduce S-DUDE, a new algorithm for denoising Discrete Memoryless Channel (DMC)-corrupted data. The algorithm, which generalizes the recently introduced DUDE (Discrete Univer...
The subject of this article is the long standing open problem of developing a general capacity theory for wireless networks, particularly a theory capable of describing the fundam...
Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, ...
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
Dynamically tracking the flow of data within a microprocessor creates many new opportunities to detect and track malicious or erroneous behavior, but these schemes all rely on the...
ABSTRACT. Aspect-orientation promises better modularity than pure object-oriented decomposition. A typical benefit of increased modularity is ease of maintenance, evolution and reu...