In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
: The analysis of Biological Regulatory Network (BRN) leads to compute the set of the possible behaviours of the biological components. These behaviours are seen as trajectories an...
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software...