The constraint satisfaction problem (CSP) is a central generic problem in artificial intelligence. Considerable effort has been made in identifying properties which ensure tractabi...
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
We consider a monopolist expert offering a service with a `credence' characteristic. A credence service is one where the customer cannot verify, even after a purchase, whethe...
Laurens G. Debo, L. Beril Toktay, Luk N. Van Wasse...
The wealth of transcript information that has been made publicly available in recent years has led to large pools of individual web sites offering access to bioinformatics softwar...
Coral del Val, Peter Ernst, Mechthild Falkenhahn, ...
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...