Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
Although data pow analysis was first developed for use in compilers, its usefulness is now recognized in many software tools. Because of its compiler origins, the computation of d...
One of the major costs of software development is associated with testing and validation of successive versions of software systems. An important problem encountered in testing and...
Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...