Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
The automatic extraction of handwriting styles is an important process that can be used for various applications in the processing of handwriting. We propose a novel method that e...
This paper is concerned with the design of goal-oriented scheduling policies that deal with multiple goals on production parallel systems. Several objective models are compared, i...