37 search results - page 1 / 8 » A Unifying Framework for Learning the Linear Combiners for C... |
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
MCS
2002
Springer
13 years 4 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
ICTAI
2005
IEEE
13 years 10 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
NIPS
2001
13 years 6 months ago
2001
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...