Dynamic Optimization is an umbrella term that refers to any optimization of software that is performed after the initial compile time. It is a complementary optimization opportuni...
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
The verification of quantitative aspects like performance and dependability by means of model checking has become an important and vivid area of research over the past decade. An ...
Stefan Blom, Boudewijn R. Haverkort, Matthias Kunt...
A comfort zone is a tested region of a system’s input space within which it has been observed to behave acceptably. To keep systems operating within their comfort zones, we advo...