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Result analysis of the NIPS 2003 feature selection challenge
Result analysis of the NIPS 2003 feature selection challenge. -
Regression shrinkage and selection via the LASSO
The (cid:96)0 ball or the (cid:96)1 ball constraints to apply to the same testing problems as the benchmark. -
Feature Selection for Label Distribution Learning via Feature Similarity and ...
Feature selection for label distribution learning via feature similarity and label correlation. -
Offline Handwriting Signature Verification: A Transfer Learning and Feature S...
A large dataset of 12600 images from 420 distinct individuals, each with 30 signatures of a certain kind. -
Adaptive Feature Ranking for Unsupervised Transfer Learning
Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and...