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» Robustness of the Learning with Errors Assumption
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SIGIR
2010
ACM
15 years 3 months ago
Discriminative models of integrating document evidence and document-candidate associations for expert search
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
Yi Fang, Luo Si, Aditya P. Mathur
ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ECML
1987
Springer
15 years 3 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett
TIP
2008
154views more  TIP 2008»
14 years 11 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
TCC
2012
Springer
226views Cryptology» more  TCC 2012»
13 years 7 months ago
Subspace LWE
The (decisional) learning with errors problem (LWE) asks to distinguish “noisy” inner products of a secret vector with random vectors from uniform. In recent years, the LWE pro...
Krzysztof Pietrzak