9886 search results - page 4 / 1978 » Learning Compressible Models |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...