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» Toward Optimal Feature Selection
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AIRS
2008
Springer
13 years 11 months ago
Efficient Feature Selection in the Presence of Outliers and Noises
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
Shuang-Hong Yang, Bao-Gang Hu
PRL
1998
132views more  PRL 1998»
13 years 9 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ICML
2004
IEEE
14 years 3 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
CVHI
2007
13 years 11 months ago
A System for Control of Hearing Instrument Selection and Adjustment based on Evaluation of Correct Transmission of Speech Elemen
: Modern digital hearing aids provide unprecedented means of compensating for hearing impairments. However, this comes at the price of adjusting complex processing parameters. To a...
Axel Plinge, Dieter Bauer
IJCNN
2006
IEEE
14 years 3 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana