Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
—A central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number of p...
Antonio G. Ruzzelli, Conor Muldoon, Anthony Schoof...
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...