In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
This paper presents a genetic algorithm for the restrictive channel routing problem. The major difference of the algorithm from already known genetic algorithms for this problem c...
Vladimir N. Davidenko, Victor M. Kureichik, Victor...
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...
One of the major drawbacks in block-based discrete cosine transform (BDCT) is the blocking artifacts at low bit rates. In this paper, an adaptive deblocking algorithm based on Mar...
We describe the parallelization of an efficient algorithm for balanced truncation that allows to reduce models with state-space dimension up to O(105 ). The major computational tas...