We consider the problem of automatically discovering the solution preferred by a decision maker (DM). Recent work in the field of constraint programming [8] formalizes the user preferences in terms of soft constraints, whose weights are assumed to be partially unknown. An elicitation strategy is introduced based on the DM queries for constraint weights. In this paper, soft constraints are cast ...

High-throughput sequencing technologies enable metagenome profiling, simultaneous sequencing of multiple microbial species present within an environmental sample. Since metagenomic data includes sequence fragments ("reads") from organisms that are absent from any database, new algorithms must be developed for the identification and annotation of novel sequence fragments. Homology-based techniqu...

A novel tolerance feature subset selection method from incomplete data set, denoted by MaxGIIAMB, is proposed to pick out the Markov-boundary (MB), the minimal subset of features, of target variable but without making any assumption about the unknown component distribution. The classification experimental results of risk factors observed in a sample of 1841 employees of a Czech car factory demo...

In this paper we present a two parameter family of differential equations treated by Jacopo Riccati, which does not appear in any modern repertoires and extend the original solution method to four equations, translating Riccati approach terms Lie symmetries. To get complete solution, hypergeometric functions come into play, which, course, were unknown Riccati’s time. Re-discovering introduced c...