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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
14 years 21 days ago
Clustering Based On Association Rule Hypergraphs
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...
CASES
2007
ACM
14 years 16 days ago
Rethinking custom ISE identification: a new processor-agnostic method
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...
Ajay K. Verma, Philip Brisk, Paolo Ienne
AAAI
2008
13 years 11 months ago
Computational Influence for Training and Entertainment
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...
David L. Roberts
ATAL
2008
Springer
13 years 10 months ago
Exploiting locality of interaction in factored Dec-POMDPs
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...
MMNS
2007
105views Multimedia» more  MMNS 2007»
13 years 10 months ago
Monitoring Flow Aggregates with Controllable Accuracy
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...
Alberto Gonzalez Prieto, Rolf Stadler