Packet classification continues to be an important challenge in network processing. It requires matching each packet against a database of rules and forwarding the packet accordi...
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...