Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sensor networks exhibit a unique funneling effect which is a product of the distinctive many-to-one, hop-by-hop traffic pattern found in sensor networks, and results in a signific...
Gahng-Seop Ahn, Se Gi Hong, Emiliano Miluzzo, Andr...
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
We propose a flow-control scheme for multicast ABR services in ATM networks. At the heart of the proposed scheme is an optimal secondorder rate control algorithm, called the -contr...
Xi Zhang, Kang G. Shin, Debanjan Saha, Dilip D. Ka...