In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Due to rapid information growth, peer-to-peer (P2P) systems have become a promising alternative to centralized, client/server-based approaches for large-scale data sharing. By all...
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
The paper describes the first version of the TextMOLE (Text Mining Operations Library and Environment) system for textual data mining. Currently TextMOLE acts as an advanced inde...