We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
A new approach to the field normalization of the classical journal impact factor is introduced called the audience factor. This approach takes into consideration the citing propen...
Assembling a gene from candidate exons is an important problem in computational biology. Among the most successful approaches to this problem is spliced alignment, proposed by Gelf...
Assessing spatial scenes for similarity is difficult from a cognitive and computational perspective. Solutions to spatial-scene similarity assessments are sensible only if corresp...
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...