Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)Evolution-Strategies (ESs) with the aim of designing fast and robus...
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Recent research has proposed security-critical real-time embedded systems with provably-strong information containment through the use of hardware-enforced execution leases. Execut...