Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
We investigate secure communications for a four-node relayeavesdropper channel with multiple data stream transmission, assuming that the eavesdropper’s channel state information...
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...