The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
As modern software-based systems and applications gain in versatility and functionality, the ability to manage inconsistent resources and service disparate user requirements becom...
Debanjan Ghosh, Raj Sharman, H. Raghav Rao, Shambh...
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Mobile ad hoc network (MANET) has been generally regarded as an ideal network model for group communications because of its specialty of instant establishment. However, the securit...
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed processing. Most viable search engines are implemented in content addressable m...