372 search results - page 17 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
EJASMP
2011
12 years 11 months ago
2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...