Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
We study the best exponential decay in the blocklength of the probability of error that can be achieved in the transmission of a single bit over the Gaussian channel with an activ...
Abstract. We extend the open answer set semantics for programs with generalized literals. Such extended programs (EPs) have interesting properties, e.g. the ability to express infi...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
es are extended with a factorable, abstract state, and methods of interfaces are extended with state transformation behaviours. A new programming language command, the USE statemen...