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» A theory of distributed aspects
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ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 9 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
TON
2002
109views more  TON 2002»
13 years 9 months ago
Coordinated multihop scheduling: a framework for end-to-end services
In multi-hop networks, packet schedulers at downstream nodes have an opportunity to make up for excessive latencies due to congestion at upstream nodes. Similarly, when packets inc...
Chengzhi Li, Edward W. Knightly
ML
2007
ACM
108views Machine Learning» more  ML 2007»
13 years 9 months ago
Unconditional lower bounds for learning intersections of halfspaces
We prove new lower bounds for learning intersections of halfspaces, one of the most important concept classes in computational learning theory. Our main result is that any statist...
Adam R. Klivans, Alexander A. Sherstov
PAMI
2007
107views more  PAMI 2007»
13 years 9 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
PE
2007
Springer
112views Optimization» more  PE 2007»
13 years 9 months ago
Multicast inference of temporal loss characteristics
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Vijay Arya, Nick G. Duffield, Darryl Veitch