— Parameter setting is an important issue in the design of evolutionary algorithms. Recently, experimental work has pointed out that it is often not useful to work with a fixed ...
Pietro Simone Oliveto, Per Kristian Lehre, Frank N...
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
Recently there has been an increasing interest to harness the potential of P2P technology to design and build rich environments where services are provided and multiple applicatio...
In order to efficiently deal with the heterogeneity in the current and future multimedia ecosystem, it is necessary that content can be adapted in a format-agnostic manner. A fi...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, R...
Crime on the Internet has become a formidable challenge for university information technology and student judicial systems. The nature of university computing requires a relativel...