2898 search results - page 225 / 580 » Ensemble Methods in Machine Learning |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
ECML
2007
Springer
14 years 7 days ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...