We examine computing alternative solutions to a problem in parallel to improve response time. Problems with exploring multiple alternatives in parallel include (1) side-effects an...
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
— We study problems related to supporting multicast connections with Quality of Service (QoS) requirements. We investigate the problem of optimal resource allocation in the conte...
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
This paper considers the problem of document-level multi-way sentiment detection, proposing a hierarchical classifier algorithm that accounts for the inter-class similarity of tag...