372 search results - page 1 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
JMLR
2011
12 years 11 months ago
2011
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
CIDM
2009
IEEE
13 years 11 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...