424 search results - page 31 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
CHES
2006
Springer
13 years 11 months ago
2006
Springer
Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of `a-priori' knowledge gained from a profiling step. For a sys...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
CPAIOR
2005
Springer
14 years 1 months ago
2005
Springer
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
AGI
2008
13 years 9 months ago
2008
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...