176 search results - page 4 / 36 » Statistical Learning Theory: A Primer |
NIPS
2000
13 years 9 months ago
2000
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
SYNTHESE
2008
2008
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
13 years 7 months ago
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
STOC
2000
ACM
13 years 12 months ago
2000
ACM
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
NC
2002
13 years 7 months ago
2002
Second order statistics have formed the basis of learning and adaptation due to its appeal and analytical simplicity. On the other hand, in many realistic engineering problems requ...
NIPS
2007
13 years 9 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...