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COLT
2010
Springer
15 years 4 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
IMC
2010
ACM
15 years 4 months ago
Revisiting the case for a minimalist approach for network flow monitoring
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
Vyas Sekar, Michael K. Reiter, Hui Zhang
IMC
2010
ACM
15 years 4 months ago
Primitives for active internet topology mapping: toward high-frequency characterization
Current large-scale topology mapping systems require multiple days to characterize the Internet due to the large amount of probing traffic they incur. The accuracy of maps from ex...
Robert Beverly, Arthur Berger, Geoffrey G. Xie
IMC
2010
ACM
15 years 4 months ago
The effect of packet loss on redundancy elimination in cellular wireless networks
Network-level redundancy elimination (RE) algorithms reduce traffic volume on bandwidth-constrained network paths by avoiding the transmission of repeated byte sequences. Previous...
Cristian Lumezanu, Katherine Guo, Neil Spring, Bob...
ISDA
2010
IEEE
15 years 4 months ago
Avoiding simplification strategies by introducing multi-objectiveness in real world problems
Abstract--In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-m...
Charlotte J. C. Rietveld, Gijs P. Hendrix, Frank T...
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