In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
Background: There are currently a number of competing techniques for low-level processing of oligonucleotide array data. The choice of technique has a profound effect on subsequen...
Alexander Ploner, Lance D. Miller, Per Hall, Jonas...
Chilenski and Miller [1] claim that the error detection probability of a test set with full modified condition/decision coverage (MC/DC) on the system under test converges to 100%...
Recent work has focused on increasing availability in the face of Internet path failures. To date, proposed solutions have relied on complex routing and pathmonitoring schemes, tr...
P. Krishna Gummadi, Harsha V. Madhyastha, Steven D...