The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
Optimized spaced seeds improve sensitivity and specificity in local homology search. Several authors have shown that multiple seeds can have better sensitivity and specificity t...
A principally new approach to the classifications of nucleotide sequences based on the "natural" classification concept is proposed. As a result of "natural" c...
Eugenii E. Vityaev, K. A. Lapardin, I. V. Khomiche...