We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
In software product families, the full benefit of reuse can only be achieved if traceability of requirements to architecture, components and further down to source code is support...
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
We present a logical framework that is able to deal with variability in product family descriptions. The temporal logic MHML is based on the classical Hennessy–Milner logic with ...
Patrizia Asirelli, Maurice H. ter Beek, Alessandro...