Troubleshooting problems in real manufacturing environments impose constraints on admissible solutions that make the computational solutions offered by "troubleshooting from ...
D. Volovik, Imran A. Zualkernan, Paul E. Johnson, ...
In this work, a Bayesian framework for OFDM channel estimation is proposed. Using the maximum entropy principle to exploit prior system information at the receiver, we successively...
We examine how computer system problems can be derived from real application problems, with a particular focus on the relevance of some assumptions, especially those related to co...
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...