Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
The last decade has witnessed the emergence of the Application Specific Instruction-set Processor (ASIP) as a viable platform for embedded systems. Extensible ASIPs allow the user...
2) a set of abstract drama manager; 3) a model of player response to drama manager actions; and 4) an author-specified evaluation function. The drama manager's task is to sele...
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Wh...
In this paper, we show the feasibility of real-time flow monitoring with controllable accuracy in today’s IP networks. Our approach is based on Netflow and A-GAP. A-GAP is a prot...