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» Evaluating algorithms that learn from data streams
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WWW
2007
ACM
16 years 8 months ago
Mapping-driven XML transformation
Clio is an existing schema-mapping tool that provides user-friendly means to manage and facilitate the complex task of transformation and integration of heterogeneous data such as...
Haifeng Jiang, Howard Ho, Lucian Popa, Wook-Shin H...
SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
16 years 1 months ago
Effective features of algorithm visualizations
Many algorithm visualizations have been created, but little is known about which features are most important to their success. We believe that pedagogically useful visualizations ...
Purvi Saraiya, Clifford A. Shaffer, D. Scott McCri...
ICC
2009
IEEE
130views Communications» more  ICC 2009»
16 years 2 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee
INFOSCALE
2006
ACM
16 years 1 months ago
Simulating non-scanning worms on peer-to-peer networks
Millions of Internet users are using large-scale peerto-peer (P2P) networks to share content files today. Many other mission-critical applications, such as Internet telephony and...
Guanling Chen, Robert S. Gray
IJCNN
2000
IEEE
16 years 2 days ago
Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources
Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...