Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
The widening gap between processor and memory speeds renders data locality optimization a very important issue in data-intensive embedded applications. Throughout the years hardwa...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
—Enhanced distributed channel access (EDCA) is the basis protocol in IEEE 802.11e protocol suite. It is used for providing differentiated quality of service (QoS) in IEEE 802.11e...
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local ov...