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» Robustness of the Learning with Errors Assumption
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IWCMC
2006
ACM
14 years 1 months ago
On the robustness of grid-based deployment in wireless sensor networks
Grid-based sensor deployment is an effective and efficient practice for provisioning wireless sensor networks. Previous work has addressed grid-based deployment of sensors in orde...
Kenan Xu, Glen Takahara, Hossam S. Hassanein
TAL
2010
Springer
13 years 5 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen
ICML
2000
IEEE
14 years 8 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
CORR
2010
Springer
47views Education» more  CORR 2010»
13 years 7 months ago
Robustness and Generalization
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...
Huan Xu, Shie Mannor
AUTOMATICA
2006
81views more  AUTOMATICA 2006»
13 years 7 months ago
An energy-gain bounding approach to robust fuzzy identification
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
Mohit Kumar, Norbert Stoll, Regina Stoll