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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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ICML
2007
IEEE
16 years 7 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
16 years 29 days ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
CLOR
2006
15 years 10 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
TSE
1998
85views more  TSE 1998»
15 years 6 months ago
A Methodology for Feature Interaction Detection in the AIN 0.1 Framework
—In this paper, we propose an integrated methodology for specifying AIN and switch-based features and analyzing their interactions in the AIN 0.1 framework. The specification of ...
Fuchun Joseph Lin, Hong Liu, Abhijit Ghosh
ICML
2004
IEEE
16 years 7 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu