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NIPS
2007
15 years 8 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
AMAI
2005
Springer
15 years 6 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
ML
2008
ACM
15 years 6 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
INFOCOM
2010
IEEE
15 years 5 months ago
Asymptotic Analysis of Precoded Small Cell Networks
—In this paper, we study precoded MIMO based small cell networks. We derive the theoretical sum-rate capacity, when multi-antenna base stations transmit precoded information to i...
Sreenath Ramanath, Mérouane Debbah, Eitan A...
AUTOMATICA
2011
14 years 10 months ago
Fast computation of minimal elementary decompositions of metabolic flux vectors
The concept of elementary flux vector is valuable in a number of applications of metabolic engineering. For instance, in metabolic flux analysis, each admissible flux vector ca...
Raphaël M. Jungers, Francisca Zamorano, Vince...